Most Influential AAAI Papers (2021-02)
The AAAI Conference on Artificial Intelligence (AAAI) is one of the top artificial intelligence conferences in the world. Paper Digest Team analyze all papers published on AAAI in the past years, and presents the 10 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest updates of the most influential papers from different conferences/journals, visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2021-02)
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Paper Digest Team
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TABLE 1: Most Influential AAAI Papers (2021-02)
| Year | Rank | Paper | Author(s) |
|---|---|---|---|
| 2020 | 1 | ERNIE 2.0: A Continual Pre-Training Framework For Language Understanding IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on this framework, we construct several tasks and train the ERNIE 2.0 model to capture lexical, syntactic and semantic aspects of information in the training data. |
YU SUN et. al. |
| 2020 | 2 | Unicoder-VL: A Universal Encoder For Vision And Language By Cross-Modal Pre-Training IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose Unicoder-VL, a universal encoder that aims to learn joint representations of vision and language in a pre-training manner. |
Gen Li; Nan Duan; Yuejian Fang; Ming Gong; Daxin Jiang; |
| 2020 | 3 | Seq2Sick: Evaluating The Robustness Of Sequence-to-Sequence Models With Adversarial Examples IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the much more challenging problem of crafting adversarial examples for sequence-to-sequence (seq2seq) models, whose inputs are discrete text strings and outputs have an almost infinite number of possibilities. |
Minhao Cheng; Jinfeng Yi; Pin-Yu Chen; Huan Zhang; Cho-Jui Hsieh; |
| 2020 | 4 | EvolveGCN: Evolving Graph Convolutional Networks For Dynamic Graphs IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To resolve this challenge, we propose EvolveGCN, which adapts the graph convolutional network (GCN) model along the temporal dimension without resorting to node embeddings. |
ALDO PAREJA et. al. |
| 2020 | 5 | Q-BERT: Hessian Based Ultra Low Precision Quantization Of BERT IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we perform an extensive analysis of fine-tuned BERT models using second order Hessian information, and we use our results to propose a novel method for quantizing BERT models to ultra low precision. |
SHENG SHEN et. al. |
| 2020 | 6 | Unified Vision-Language Pre-Training For Image Captioning And VQA IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a unified Vision-Language Pre-training (VLP) model. |
LUOWEI ZHOU et. al. |
| 2020 | 7 | Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we introduce the the Schema-Guided Dialogue (SGD) dataset, containing over 16k multi-domain conversations spanning 16 domains. |
Abhinav Rastogi; Xiaoxue Zang; Srinivas Sunkara; Raghav Gupta; Pranav Khaitan; |
| 2020 | 8 | K-BERT: Enabling Language Representation With Knowledge Graph IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: For machines to achieve this capability, we propose a knowledge-enabled language representation model (K-BERT) with knowledge graphs (KGs), in which triples are injected into the sentences as domain knowledge. |
WEIJIE LIU et. al. |
| 2020 | 9 | Improved Knowledge Distillation Via Teacher Assistant IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate this shortcoming, we introduce multi-step knowledge distillation, which employs an intermediate-sized network (teacher assistant) to bridge the gap between the student and the teacher. |
SEYED IMAN MIRZADEH et. al. |
| 2020 | 10 | Is BERT Really Robust? A Strong Baseline For Natural Language Attack On Text Classification And Entailment IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present TextFooler, a simple but strong baseline to generate adversarial text. |
Di Jin; Zhijing Jin; Joey Tianyi Zhou; Peter Szolovits; |
| 2019 | 1 | Regularized Evolution For Image Classifier Architecture Search IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To do this, we modify the tournament selection evolutionary algorithm by introducing an age property to favor the younger genotypes. |
Esteban Real; Alok Aggarwal; Yanping Huang; Quoc V. Le; |
| 2019 | 2 | Graph Convolutional Networks For Text Classification IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose to use graph convolutional networks for text classification. |
Liang Yao; Chengsheng Mao; Yuan Luo; |
| 2019 | 3 | Weisfeiler And Leman Go Neural: Higher-Order Graph Neural Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on this, we propose a generalization of GNNs, so-called k-dimensional GNNs (k-GNNs), which can take higher-order graph structures at multiple scales into account. |
CHRISTOPHER MORRIS et. al. |
| 2019 | 4 | Spatiotemporal Multi-Graph Convolution Network For Ride-Hailing Demand Forecasting IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose the spatiotemporal multi-graph convolution network (ST-MGCN), a novel deep learning model for ride-hailing demand forecasting. |
XU GENG et. al. |
| 2019 | 5 | M2Det: A Single-Shot Object Detector Based On Multi-Level Feature Pyramid Network IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Newly, in this work, we present Multi-Level Feature Pyramid Network (MLFPN) to construct more effective feature pyramids for detecting objects of different scales. |
QIJIE ZHAO et. al. |
| 2019 | 6 | Session-Based Recommendation With Graph Neural Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To obtain accurate item embedding and take complex transitions of items into account, we propose a novel method, i.e. Session-based Recommendation with Graph Neural Networks, SR-GNN for brevity. |
SHU WU et. al. |
| 2019 | 7 | ATOMIC: An Atlas Of Machine Commonsense For If-Then Reasoning IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present ATOMIC, an atlas of everyday commonsense reasoning, organized through 877k textual descriptions of inferential knowledge. |
MAARTEN SAP et. al. |
| 2019 | 8 | Revisiting Spatial-Temporal Similarity: A Deep Learning Framework For Traffic Prediction IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we make two important observations: (1) the spatial dependencies between locations are dynamic; and (2) the temporal dependency follows daily and weekly pattern but it is not strictly periodic for its dynamic temporal shifting. |
Huaxiu Yao; Xianfeng Tang; Hua Wei; Guanjie Zheng; Zhenhui Li; |
| 2019 | 9 | TrafficPredict: Trajectory Prediction For Heterogeneous Traffic-Agents IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To solve this problem, we propose a long short-term memory-based (LSTM-based) realtime traffic prediction algorithm, TrafficPredict. In order to evaluate its performance, we collected trajectory datasets in a large city consisting of varying conditions and traffic densities. |
YUEXIN MA et. al. |
| 2019 | 10 | Character-Level Language Modeling With Deeper Self-Attention IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show that a deep (64-layer) transformer model (Vaswani et al. 2017) with fixed context outperforms RNN variants by a large margin, achieving state of the art on two popular benchmarks: 1.13 bits per character on text8 and 1.06 on enwik8. |
Rami Al-Rfou; Dokook Choe; Noah Constant; Mandy Guo; Llion Jones; |
| 2018 | 1 | R3: Reinforced Ranker-Reader for Open-Domain Question Answering IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a novel open-domain QA system called Reinforced Ranker-Reader (R3), based on two algorithmic innovations. |
SHUOHANG WANG et. al. |
| 2018 | 2 | Deep Reinforcement Learning That Matters IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate challenges posed by reproducibility, proper experimental techniques, and reporting procedures. |
PETER HENDERSON et. al. |
| 2018 | 3 | Rainbow: Combining Improvements In Deep Reinforcement Learning IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper examines six extensions to the DQN algorithm and empirically studies their combination. |
MATTEO HESSEL et. al. |
| 2018 | 4 | Spatial Temporal Graph Convolutional Networks For Skeleton-Based Action Recognition IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel model of dynamic skeletons called Spatial-Temporal Graph Convolutional Networks (ST-GCN), which moves beyond the limitations of previous methods by automatically learning both the spatial and temporal patterns from data. |
Sijie Yan; Yuanjun Xiong; Dahua Lin; |
| 2018 | 5 | Emotional Chatting Machine: Emotional Conversation Generation With Internal And External Memory IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose Emotional Chatting Machine (ECM) that can generate appropriate responses not only in content (relevant and grammatical) but also in emotion (emotionally consistent). |
Hao Zhou; Minlie Huang; Tianyang Zhang; Xiaoyan Zhu; Bing Liu; |
| 2018 | 6 | Convolutional 2D Knowledge Graph Embeddings IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we introduce ConvE, a multi-layer convolutional network model for link prediction, and report state-of-the-art results for several established datasets. |
Tim Dettmers; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel; |
| 2018 | 7 | Anchors: High-Precision Model-Agnostic Explanations IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an algorithm to efficiently compute these explanations for any black-box model with high-probability guarantees. |
Marco Tulio Ribeiro; Sameer Singh; Carlos Guestrin; |
| 2018 | 8 | Counterfactual Multi-Agent Policy Gradients IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose a new multi-agent actor-critic method called counterfactual multi-agent (COMA) policy gradients. |
Jakob N. Foerster; Gregory Farquhar; Triantafyllos Afouras; Nantas Nardelli; Shimon Whiteson; |
| 2018 | 9 | FiLM: Visual Reasoning With A General Conditioning Layer IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation. |
Ethan Perez; Florian Strub; Harm de Vries; Vincent Dumoulin; Aaron Courville; |
| 2018 | 10 | Deeper Insights Into Graph Convolutional Networks For Semi-Supervised Learning IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we develop deeper insights into the GCN model and address its fundamental limits. |
Qimai Li; Zhichao Han; Xiao-ming Wu; |
| 2017 | 1 | SeqGAN: Sequence Generative Adversarial Nets With Policy Gradient IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a sequence generation framework, called SeqGAN, to solve the problems. |
Lantao Yu; Weinan Zhang; Jun Wang; Yong Yu; |
| 2017 | 2 | Inception-v4, Inception-ResNet And The Impact Of Residual Connections On Learning IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we give clear empirical evidence that training with residual connections accelerates the training of Inception networks significantly. |
Christian Szegedy; Sergey Ioffe; Vincent Vanhoucke; Alexander A Alemi; |
| 2017 | 3 | A Hierarchical Latent Variable Encoder-Decoder Model For Generating Dialogues IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To model these dependencies in a generative framework, we propose a neural network-based generative architecture, with stochastic latent variables that span a variable number of time steps. |
IULIAN VLAD SERBAN et. al. |
| 2017 | 4 | ConceptNet 5.5: An Open Multilingual Graph Of General Knowledge IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present here a new version of the linked open data resource ConceptNet that is particularly well suited to be used with modern NLP techniques such as word embeddings. |
Robert Speer; Joshua Chin; Catherine Havasi; |
| 2017 | 5 | Deep Spatio-Temporal Residual Networks For Citywide Crowd Flows Prediction IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a deep-learning-based approach, called ST-ResNet, to collectively forecast the inflow and outflow of crowds in each and every region of a city. |
Junbo Zhang; Yu Zheng; Dekang Qi; |
| 2017 | 6 | Online Multi-Target Tracking Using Recurrent Neural Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel approach to online multi-target tracking based on recurrent neural networks (RNNs). |
Anton Milan; S. Hamid Rezatofighi; Anthony Dick; Ian Reid; Konrad Schindler; |
| 2017 | 7 | Playing FPS Games With Deep Reinforcement Learning IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a method to augment these models to exploit game feature information such as the presence of enemies or items, during the training phase. |
Guillaume Lample; Devendra Singh Chaplot; |
| 2017 | 8 | SummaRuNNer: A Recurrent Neural Network Based Sequence Model For Extractive Summarization Of Documents IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to state-of-the-art. |
Ramesh Nallapati; Feifei Zhai; Bowen Zhou; |
| 2017 | 9 | An End-to-End Spatio-Temporal Attention Model For Human Action Recognition From Skeleton Data IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose an end-to-end spatial and temporal attention model for human action recognition from skeleton data. |
Sijie Song; Cuiling Lan; Junliang Xing; Wenjun Zeng; Jiaying Liu; |
| 2017 | 10 | Community Preserving Network Embedding IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Modularized Nonnegative Matrix Factorization (M-NMF) model to incorporate the community structure into network embedding. |
XIAO WANG et. al. |
| 2016 | 1 | Deep Reinforcement Learning With Double Q-Learning IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we answer all these questions affirmatively. |
Hado van Hasselt; Arthur Guez; David Silver; |
| 2016 | 2 | Character-Aware Neural Language Models IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe a simple neural language model that relies only on character-level inputs. |
Yoon Kim; Yacine Jernite; David Sontag; Alexander M. Rush; |
| 2016 | 3 | Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We investigate the task of building open domain, conversational dialogue systems based on large dialogue corpora using generative models. |
Iulian V. Serban; Alessandro Sordoni; Yoshua Bengio; Aaron Courville; Joelle Pineau; |
| 2016 | 4 | Holographic Embeddings Of Knowledge Graphs IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose holographic embeddings (HolE) to learn compositional vector space representations of entire knowledge graphs. |
Maximilian Nickel; Lorenzo Rosasco; Tomaso Poggio; |
| 2016 | 5 | Siamese Recurrent Architectures For Learning Sentence Similarity IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a siamese adaptation of the Long Short-Term Memory (LSTM) network for labeled data comprised of pairs of variable-length sequences. |
Jonas Mueller; Aditya Thyagarajan; |
| 2016 | 6 | Deep Neural Networks For Learning Graph Representations IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel model for learning graph representations, which generates a low-dimensional vector representation for each vertex by capturing the graph structural information. |
Shaosheng Cao; Wei Lu; Qiongkai Xu; |
| 2016 | 7 | VBPR: Visual Bayesian Personalized Ranking From Implicit Feedback IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a scalable factorization model to incorporate visual signals into predictors of people’s opinions, which we apply to a selection of large, real-world datasets. |
Ruining He; Julian McAuley; |
| 2016 | 8 | Deep Hashing Network For Efficient Similarity Retrieval IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Deep Hashing Network (DHN) architecture for supervised hashing, in which we jointly learn good image representation tailored to hash coding and formally control the quantization error. |
Han Zhu; Mingsheng Long; Jianmin Wang; Yue Cao; |
| 2016 | 9 | Representation Learning Of Knowledge Graphs With Entity Descriptions IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel RL method for knowledge graphs taking advantages of entity descriptions. |
Ruobing Xie; Zhiyuan Liu; Jia Jia; Huanbo Luan; Maosong Sun; |
| 2016 | 10 | Predicting The Next Location: A Recurrent Model With Spatial And Temporal Contexts IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we extend RNN and propose a novel method called Spatial Temporal Recurrent Neural Networks (ST-RNN). |
Qiang Liu; Shu Wu; Liang Wang; Tieniu Tan; |
| 2015 | 1 | Recurrent Convolutional Neural Networks For Text Classification IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In contrast to traditional methods, we introduce a recurrent convolutional neural network for text classification without human-designed features. |
Siwei Lai; Liheng Xu; Kang Liu; Jun Zhao; |
| 2015 | 2 | Learning Entity And Relation Embeddings For Knowledge Graph Completion IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consider the approach of knowledge graph embeddings. |
Yankai Lin; Zhiyuan Liu; Maosong Sun; Yang Liu; Xuan Zhu; |
| 2015 | 3 | Never-Ending Learning IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a never-ending learning paradigm for machine learning, to better reflect the more ambitious and encompassing type of learning performed by humans. |
TOM M. MITCHELL et. al. |
| 2015 | 4 | The Network Data Repository With Interactive Graph Analytics And Visualization IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: NetworkRepository (NR) is the first interactive data repository with a web-based platform for visual interactive analytics. Unlike other data repositories (e.g., UCI ML Data … |
Ryan Rossi; Nesreen Ahmed; |
| 2015 | 5 | Robust Image Sentiment Analysis Using Progressively Trained And Domain Transferred Deep Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by the needs in leveraging large scale yet noisy training data to solve the extremely challenging problem of image sentiment analysis, we employ Convolutional Neural Networks (CNN). |
Quanzeng You; Jiebo Luo; Hailin Jin; Jianchao Yang; |
| 2015 | 6 | Topical Word Embeddings IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In order to enhance discriminativeness, we employ latent topic models to assign topics for each word in the text corpus, and learn topical word embeddings (TWE) based on both words and their topics. |
Yang Liu; Zhiyuan Liu; Tat-Seng Chua; Maosong Sun; |
| 2015 | 7 | Initializing Bayesian Hyperparameter Optimization Via Meta-Learning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we mimic a strategy human domain experts use: speed up optimization by starting from promising configurations that performed well on similar datasets. |
Matthias Feurer; Jost Tobias Springenberg; Frank Hutter; |
| 2015 | 8 | TrustSVD: Collaborative Filtering With Both The Explicit And Implicit Influence Of User Trust And Of Item Ratings IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To help resolve these issues, we propose TrustSVD, a trust-based matrix factorization technique. |
Guibing Guo; Jie Zhang; Neil Yorke-Smith; |
| 2015 | 9 | Content-Aware Point Of Interest Recommendation On Location-Based Social Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we study the content information on LBSNs w.r.t. POI properties, user interests, and sentiment indications. |
Huiji Gao; Jiliang Tang; Xia Hu; Huan Liu; |
| 2015 | 10 | Self-Paced Curriculum Learning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we discover the missing link between CL and SPL, and propose a unified framework named self-paced curriculum leaning (SPCL). |
Lu Jiang; Deyu Meng; Qian Zhao; Shiguang Shan; Alexander G. Hauptmann; |
| 2014 | 1 | Knowledge Graph Embedding By Translating On Hyperplanes IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To make a good trade-off between model capacity and efficiency, in this paper we propose TransH which models a relation as a hyperplane together with a translation operation on it. |
Zhen Wang; Jianwen Zhang; Jianlin Feng; Zheng Chen; |
| 2014 | 2 | Supervised Hashing For Image Retrieval Via Image Representation Learning IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a supervised hashing method for image retrieval, in which we automatically learn a good image representation tailored to hashing as well as a set of hash functions. |
Rongkai Xia; Yan Pan; Hanjiang Lai; Cong Liu; Shuicheng Yan; |
| 2014 | 3 | Learning Deep Representations For Graph Clustering IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we explore the possibility of employing deep learning in graph clustering. |
Fei Tian; Bin Gao; Qing Cui; Enhong Chen; Tie-Yan Liu; |
| 2014 | 4 | Large-Scale Supervised Multimodal Hashing With Semantic Correlation Maximization IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a novel SMH method, called semantic correlation maximization~(SCM), is proposed to seamlessly integrate semantic labels into the hashing learning procedure for large-scale data modeling. |
Dongqing Zhang; Wu-Jun Li; |
| 2014 | 5 | SenticNet 3: A Common And Common-Sense Knowledge Base For Cognition-Driven Sentiment Analysis IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Rather than using graph-mining and dimensionality-reduction techniques, SenticNet 3 makes use of energy flows to connect various parts of extended common and common-sense knowledge representations to one another. |
Erik Cambria; Daniel Olsher; Dheeraj Rajagopal; |
| 2014 | 6 | Robust Multi-View Spectral Clustering Via Low-Rank And Sparse Decomposition IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In thispaper, we propose a novel Markov chain method for RobustMulti-view Spectral Clustering (RMSC). |
Rongkai Xia; Yan Pan; Lei Du; Jian Yin; |
| 2014 | 7 | Sequential Click Prediction For Sponsored Search With Recurrent Neural Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by these observations, we introduce a novel framework based on Recurrent Neural Networks (RNN). |
YUYU ZHANG et. al. |
| 2014 | 8 | Mapping Users Across Networks By Manifold Alignment On Hypergraph IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose to utilize social structures to improve the mapping performance. |
SHULONG TAN et. al. |
| 2014 | 9 | TopicMF: Simultaneously Exploiting Ratings And Reviews For Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel matrix factorization model (called TopicMF) which simultaneously considers the ratings and accompanied review texts. |
Yang Bao; Hui Fang; Jie Zhang; |
| 2014 | 10 | A Convex Formulation For Semi-Supervised Multi-Label Feature Selection IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel convex semi-supervised multi-label feature selection algorithm, which can be applied to large-scale datasets. |
Xiaojun Chang; Feiping Nie; Yi Yang; Heng Huang; |
| 2013 | 1 | Locate The Hate: Detecting Tweets Against Blacks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The classifier has a 76% average accuracy on individual tweets, suggesting that with further improvements, our work can contribute data on the sources of anti-black hate speech. |
Irene Kwok; Yuzhou Wang; |
| 2013 | 2 | Generating Natural-Language Video Descriptions Using Text-Mined Knowledge IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a holistic data-driven technique that generates natural-language descriptions for videos. |
Niveda Krishnamoorthy; Girish Malkarnenkar; Raymond Mooney; Kate Saenko; Sergio Guadarrama; |
| 2013 | 3 | Analyzing The Effectiveness Of Adversary Modeling In Security Games IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Recent deployments of Stackelberg security games (SSG) have led to two competing approaches to handle boundedly rational human adversaries: (1) integrating models of human (adversary) decision-making into the game-theoretic algorithms, and (2) applying robust optimization techniques that avoid adversary modeling. |
Thanh Hong Nguyen; Rong Yang; Amos Azaria; Sarit Kraus; Milind Tambe; |
| 2013 | 4 | Story Generation With Crowdsourced Plot Graphs IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel class of story generation system that can generate stories in an unknown domain. |
Boyang Li; Stephen Lee-Urban; George Johnston; Mark Riedl; |
| 2013 | 5 | Supervised Coupled Dictionary Learning With Group Structures For Multi-modal Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce coupled dictionary learning (DL) into supervised sparse coding for multi-modal (cross-media) retrieval. |
Yue Ting Zhuang; Yan Fei Wang; Fei Wu; Yin Zhang; Wei Ming Lu; |
| 2013 | 6 | Structure And Intractability Of Optimal Multi-Robot Path Planning On Graphs IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the structure and computational complexity of optimal multi-robot path planning problems on graphs. |
Jingjin Yu; Steven M. LaValle; |
| 2013 | 7 | Learning Collaborative Impedance-Based Robot Behaviors IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a framework to transfer impedance-based behaviors to a torque-controlled robot by kinesthetic teaching. |
Leonel Dario Rozo; Sylvain Calinon; Darwin Caldwell; Pablo Jimenez; Carme Torras; |
| 2013 | 8 | Better Human Computation Through Principled Voting IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our short-term goal is to motivate the design of better human computation systems; our long-term goal is to spark an interaction between researchers in (computational) social choice and human computation. |
Andrew Mao; Ariel D. Procaccia; Yiling Chen; |
| 2013 | 9 | A Hierarchical Aspect-Sentiment Model For Online Reviews IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a hierarchical aspect sentiment model (HASM) to discover a hierarchical structure of aspect-based sentiments from unlabeled online reviews. |
Suin Kim; Jianwen Zhang; Zheng Chen; Alice Oh; Shixia Liu; |
| 2013 | 10 | Convex Subspace Representation Learning From Multi-View Data IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel convex subspace representation learning method for unsupervised multi-view clustering. |
Yuhong Guo; |
| 2012 | 1 | Fused Matrix Factorization With Geographical And Social Influence In Location-Based Social Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, to the best of our knowledge, we are the first to fuse MF with geographical and social influence for POI recommendation in LBSNs. |
Chen Cheng; Haiqin Yang; Irwin King; Michael R. Lyu; |
| 2012 | 2 | Unsupervised Feature Selection Using Nonnegative Spectral Analysis IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a new unsupervised learning algorithm, namely Nonnegative Discriminative Feature Selection (NDFS), is proposed. |
Zechao Li; Yi Yang; Jing Liu; Xiaofang Zhou; Hanqing Lu; |
| 2012 | 3 | Fine-Grained Entity Recognition IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper defines a fine-grained set of 112 tags, formulates the tagging problem as multi-class, multi-label classification, describes an unsupervised method for collecting training data, and presents the FIGER implementation. |
Xiao Ling; Daniel S. Weld; |
| 2012 | 4 | Non-Intrusive Load Monitoring Using Prior Models Of General Appliance Types IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose an approach by which individual appliances can be iteratively separated from an aggregate load. |
Oliver Parson; Siddhartha Ghosh; Mark Weal; Alex Rogers; |
| 2012 | 5 | Online Task Assignment In Crowdsourcing Markets IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by recent research on the online adwords problem, we present a two-phase exploration-exploitation assignment algorithm and prove that it is competitive with respect to the optimal offline algorithm which has access to the unknown skill levels of each worker. |
Chien-Ju Ho; Jennifer Wortman Vaughan; |
| 2012 | 6 | Emoticon Smoothed Language Models For Twitter Sentiment Analysis IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a novel model, called emoticon smoothed language model (ESLAM), to handle this challenge. |
Kun-Lin Liu; Wu-Jun Li; Minyi Guo; |
| 2012 | 7 | Low-Rank Matrix Recovery Via Efficient Schatten P-Norm Minimization IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel Schatten $p$-Norm optimization framework that unifies different norm formulations. |
Feiping Nie; Heng Huang; Chris Ding; |
| 2012 | 8 | Multi-Label Learning By Exploiting Label Correlations Locally IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose the ML-LOC approach which allows label correlations to be exploited locally. |
Sheng-Jun Huang; Zhi-Hua Zhou; |
| 2012 | 9 | Predicting Disease Transmission From Geo-Tagged Micro-Blog Data IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We construct a probabilistic model that can predict if and when an individual will fall ill with high precision and good recall on the basis of his social ties and co-locations with other people, as revealed by their Twitter posts. |
Adam Sadilek; Henry Kautz; Vincent Silenzio; |
| 2012 | 10 | Automatic Targetless Extrinsic Calibration Of A 3D Lidar And Camera By Maximizing Mutual Information IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper reports on a mutual information (MI) based algorithm for automatic extrinsic calibration of a 3D laser scanner and optical camera system. |
Gaurav Pandey; James R. McBride; Silvio Savarese; Ryan M. Eustice; |
| 2011 | 1 | Learning Structured Embeddings Of Knowledge Bases IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a learning process based on an innovative neural network architecture designed to embed any of these symbolic representations into a more flexible continuous vector space in which the original knowledge is kept and enhanced. |
Antoine Bordes; Jason Weston; Ronan Collobert; Yoshua Bengio; |
| 2011 | 2 | Understanding Natural Language Commands For Robotic Navigation And Mobile Manipulation IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environments. |
STEFANIE TELLEX et. al. |
| 2011 | 3 | Learning To Interpret Natural Language Navigation Instructions From Observations IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a system that learns to transform natural-language navigation instructions into executable formal plans. |
David L. Chen; Raymond J. Mooney; |
| 2011 | 4 | Large Scale Spectral Clustering With Landmark-Based Representation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel approach, called Landmark-based Spectral Clustering (LSC), for large scale clustering problems. |
Xinlei Chen; Deng Cai; |
| 2011 | 5 | Value Function Approximation In Reinforcement Learning Using The Fourier Basis IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe the Fourier basis, a linear value function approximation scheme based on the Fourier series. |
George Konidaris; Sarah Osentoski; Philip Thomas; |
| 2011 | 6 | Heterogeneous Transfer Learning For Image Classification IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We empirically demonstrate the effectiveness of our algorithm on the Caltech-256 image dataset. |
YIN ZHU et. al. |
| 2011 | 7 | Composite Social Network For Predicting Mobile Apps Installation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose the novel problem of predicting mobile application (known as “apps”) installation using social networks and explain its challenge. |
Wei Pan; Nadav Aharony; Alex Pentland; |
| 2011 | 8 | A Scalable Tree-Based Approach For Joint Object And Pose Recognition IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a scalable framework, Object-Pose Tree, which efficiently organizes data into a semantically structured tree. |
Kevin Lai; Liefeng Bo; Xiaofeng Ren; Dieter Fox; |
| 2011 | 9 | Efficient Energy-Optimal Routing For Electric Vehicles IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper shows how these challenges can be met within the framework of A* search. |
Martin Sachenbacher; Martin Leucker; Andreas Artmeier; Julian Haselmayr; |
| 2011 | 10 | Simulated Annealing Based Influence Maximization In Social Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a totally different approach based on Simulated Annealing(SA) for the influence maximization problem. |
QINGYE JIANG et. al. |
| 2010 | 1 | Toward An Architecture For Never-Ending Language Learning IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In particular, we propose an approach and a set of design principles for such an agent, describe a partial implementation of such a system that has already learned to extract a knowledge base containing over 242,000 beliefs with an estimated precision of 74% after running for 67 days, and discuss lessons learned from this preliminary attempt to build a never-ending learning agent. |
ANDREW CARLSON et. al. |
| 2010 | 2 | Relative Entropy Policy Search IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we continue this path of reasoning and suggest the Relative Entropy Policy Search (REPS) method. |
Jan Peters; Katharina Mulling; Yasemin Altun; |
| 2010 | 3 | Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a new approach, known as user-centered collaborative location and activity filtering (UCLAF), to pull many users’ data together and apply collaborative filtering to find like-minded users and like-patterned activities at different locations. |
Vincent W. Zheng; Bin Cao; Yu Zheng; Xing Xie; Qiang Yang; |
| 2010 | 4 | Facial Age Estimation By Learning From Label Distributions IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an algorithm named IIS-LLD for learning from the label distributions, which is an iterative optimization process based on the maximum entropy model. |
Xin Geng; Kate Smith-Miles; Zhi-Hua Zhou; |
| 2010 | 5 | Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we extend this approach to the more general problem of probabilistic plan recognition where a probability distribution over the set of goals is sought under the assumptions that actions have deterministic effects and both agent and observer have complete information about the initial state. |
Miguel Ram�rez; Hector Geffner; |
| 2010 | 6 | Transfer Learning In Collaborative Filtering For Sparsity Reduction IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address the data sparsity problem in a target domain by transferring knowledge about both users and items from auxiliary data sources. |
Weike Pan; Evan Wei Xiang; Nathan Nan Liu; Qiang Yang; |
| 2010 | 7 | Ad Hoc Autonomous Agent Teams: Collaboration Without Pre-Coordination IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper challenges the AI community to develop theory and to implement prototypes of ad hoc team agents. |
Peter Stone; Gal A. Kaminka; Sarit Kraus; Jeffrey S. Rosenschein; |
| 2010 | 8 | Efficient Spectral Feature Selection With Minimum Redundancy IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose a novel spectral feature selection algorithm to handle feature redundancy, adopting an embedded model. |
Zheng Zhao; Lei Wang; Huan Liu; |
| 2010 | 9 | Finding Optimal Solutions To Cooperative Pathfinding Problems IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present the first practical, admissible, and complete algorithm for solving problems of this kind. |
Trevor Scott Standley; |
| 2010 | 10 | A Layered Approach To People Detection In 3D Range Data IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a novel approach to pedestrian detection in 3D range data based on supervised learning techniques to create a bank of classifiers for different height levels of the human body. |
Luciano Spinello; Kai Oliver Arras; Rudolph Triebel; Roland Siegwart; |
| 2008 | 1 | Maximum Entropy Inverse Reinforcement Learning IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we develop a probabilistic approach based on the principle of maximum entropy. |
Brian D. Ziebart; Andrew Maas; J. Andrew Bagnell; Anind K. Dey; |
| 2008 | 2 | Transfer Learning Via Dimensionality Reduction IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consider transfer learning via dimensionality reduction. |
Sinno Jialin Pan; James T. Kwok; Qiang Yang; |
| 2008 | 3 | Single Document Keyphrase Extraction Using Neighborhood Knowledge IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Existing methods for single document keyphrase extraction usually make use of only the information contained in the specified document. |
Xiaojun Wan; Jianguo Xiao; |
| 2008 | 4 | Zero-data Learning Of New Tasks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or tasks are provided. |
Hugo Larochelle; Dumitru Erhan; Yoshua Bengio; |
| 2008 | 5 | Landmarks Revisited IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel approach for using landmarks in planning by deriving a pseudo-heuristic and combining it with other heuristics in a search framework. |
Silvia Richter; Malte Helmert; Matthias Westphal; |
| 2008 | 6 | Lifted Probabilistic Inference With Counting Formulas IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a new lifted inference algorithm, C-FOVE, that not only handles counting formulas in its input, but also creates counting formulas for use in intermediate potentials. |
Brian Milch; Luke S. Zettlemoyer; Kristian Kersting; Michael Haimes; Leslie Pack Kaelbling; |
| 2008 | 7 | Lifted First-Order Belief Propagation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose the first lifted version of a scalable probabilistic inference algorithm, belief propagation (loopy or not). |
Parag Singla; Pedro Domingos; |
| 2008 | 8 | Trace Ratio Criterion For Feature Selection IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we directly optimize the subset-level score, and propose a novel algorithm to efficiently find the global optimal feature subset such that the subset-level score is maximized. |
FEIPING NIE et. al. |
| 2008 | 9 | Simulation-Based Approach To General Game Playing IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we describe a GGP agent that instead uses a Monte Carlo/UCT simulation technique for action selection, an approach recently popularized in computer Go. |
Hilmar Finnsson; Yngvi Björnsson; |
| 2008 | 10 | Using Wiktionary For Computing Semantic Relatedness IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce Wiktionary as an emerging lexical semantic resource that can be used as a substitute for expert-made resources in AI applications. |
Torsten Zesch; Christof Müller; Iryna Gurevych; |
| 2007 | 1 | Coordinating Hundreds Of Cooperative, Autonomous Vehicles In Warehouses IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The Kiva warehouse management system creates a new paradigm for pick-pack-and-ship warehouses that significantly improves worker productivity. The Kiva system uses movable storage … |
Peter Wurman; Raffaello D’Andrea; Mick Mountz; |
| 2007 | 2 | Transferring Naive Bayes Classifiers For Text Classification IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel transfer-learning algorithm for text classification based on an EM-based Naive Bayes classifier. |
Wenyuan Dai; Gui-Rong Xue; Qiang Yang; Yong Yu; |
| 2007 | 3 | Theta*: Any-Angle Path Planning On Grids IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present Theta*, a variant of A*, that propagates information along grid edges without constraining the paths to grid edges. |
Alex Nash; Kenny Daniel; Sven Koenig; Ariel Felner; |
| 2007 | 4 | Joint Inference In Information Extraction IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a joint approach to information extraction, where segmentation of all records and entity resolution are performed together in a single integrated inference process. |
Hoifung Poon; Pedro Domingos; |
| 2007 | 5 | Near-optimal Observation Selection Using Submodular Functions IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we survey recent advances in systematically exploiting this submodularity property to efficiently achieve near-optimal observation selections, under complex constraints. |
Andreas Krause; Carlos Guestrin; |
| 2007 | 6 | Automatic Algorithm Configuration Based On Local Search IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a local search approach for algorithm configuration and prove its convergence to the globally optimal parameter configuration. |
Frank Hutter; Holger Hoos; Thomas Stuetzle; |
| 2007 | 7 | SUNNY: A New Algorithm For Trust Inference In Social Networks Using Probabilistic Confidence Models IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a new approach that gives an explicit probabilistic interpretation for confidence in social networks. |
Ugur Kuter; Jennifer Golbeck; |
| 2007 | 8 | Mapping And Revising Markov Logic Networks For Transfer Learning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a complete MLN transfer system that first autonomously maps the predicates in the source MLN to the target domain and then revises the mapped structure to further improve its accuracy. |
Lilyana Mihalkova; Tuyen Huynh; Raymond J. Mooney; |
| 2007 | 9 | Equilibria In Heterogeneous Nonmonotonic Multi-Context Systems IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a general framework for multi-context reasoning which allows us to combine arbitrary monotonic and nonmonotonic logics. |
Gerhard Brewka; Thomas Eiter; |
| 2007 | 10 | Extracting Influential Nodes For Information Diffusion On A Social Network IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a method of efficiently estimating all those quantities on the basis of bond percolation and graph theory, and apply it to approximately solving the optimization problem under the greedy algorithm. |
Masahiro Kimura; Kazumi Saito; Ryohei Nakano.; |
| 2006 | 1 | Corpus-based And Knowledge-based Measures Of Text Semantic Similarity IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a method for measuring the semantic similarity of texts, using corpus-based and knowledge-based measures of similarity. |
Rada Mihalcea; Courtney Corley; Carlo Strapparava; |
| 2006 | 2 | WikiRelate! Computing Semantic Relatedness Using Wikipedia IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. |
Michael Strube Simone Paolo Ponzetto; |
| 2006 | 3 | Learning Systems Of Concepts With An Infinite Relational Model IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a nonparametric Bayesian model that discovers systems of related concepts. |
Charles Kemp; Joshua Tenenbaum; Thomas Griffiths; Takeshi Yamada; Naonori Ueda; |
| 2006 | 4 | Mining Comparative Sentences And Relations IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose two novel techniques based on two new types of sequential rules to perform the tasks. |
Nitin Jindal; Bing Liu; |
| 2006 | 5 | Overcoming The Brittleness Bottleneck Using Wikipedia: Enhancing Text Categorization With Encyclopedic Knowledge IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present algorithms that can do just that. |
Evgeniy Gabrilovich; Shaul Markovitch; |
| 2006 | 6 | Comparative Experiments On Sentiment Classification For Online Product Reviews IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We discuss a series of experiments with different machine learning algorithms in order to experimentally evaluate various trade-offs, using approximately 100K product reviews from the web. |
Hang Cui; Vibhu Mittal; Mayur Datar; |
| 2006 | 7 | Walk The Talk: Connecting Language, Knowledge, And Action In Route Instructions IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present Marco, an agent that follows free-form, natural language route instructions by representing and executing a sequence of compound action specifications that model which actions to take under which conditions. |
Matt MacMahon; Brian Stankiewicz; Benjamin Kuipers; |
| 2006 | 8 | Sound And Efficient Inference With Probabilistic And Deterministic Dependencies IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose MC-SAT, an inference algorithm that combines ideas from MCMC and satisfiability. |
Hoifung Poon; Pedro Domingos; |
| 2006 | 9 | Reinforcement Learning With Human Teachers: Evidence Of Feedback And Guidance With Implications For Learning Performance IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present findings from a human user study showing that people use the reward signal not only to provide feedback about past actions, but also to provide future directed rewards to guide subsequent actions. |
Andrea L. Thomaz; Cynthia Breazeal; |
| 2006 | 10 | Trip Router With Individualized Preferences (TRIP): Incorporating Personalization Into Route Planning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a set of methods for including driver preferences and time-variant traffic condition estimates in route planning. |
Julia Letchner; John Krumm; Eric Horvitz; |
| 2005 | 1 | DL-Lite: Tractable Description Logics For Ontologies IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new Description Logic, called DL-Lite, specifically tailored to capture basic ontology languages, while keeping low complexity of reasoning. |
Diego Calvanese; Giuseppe De Giacomo; Domenico Lembo; Maurizio Lenzerini; Riccardo Rosati; |
| 2005 | 2 | Controversial Users Demand Local Trust Metrics: An Experimental Study On Epinions.com Community IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We argue, using computational experiments, that the existence of controversial users (a normal phenomena in societies) demands Local Trust Metrics, techniques able to predict the trustworthiness of an user in a personalized way, depending on the very personal view of the judging user. |
Paolo Massa; Paolo Avesani.; |
| 2005 | 3 | Unsupervised Activity Recognition Using Automatically Mined Common Sense IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A fundamental difficulty in recognizing human activities is obtaining the labeled data needed to learn models of those activities. |
Danny Wyatt; Matthai Philipose; Tanzeem Choudhury; |
| 2005 | 4 | Reducing Labeling Effort For Structured Prediction Tasks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new active learning paradigm which reduces not only how many instances the annotator must label, but also how difficult each instance is to annotate. |
Aron Culotta; Andrew McCallum; |
| 2005 | 5 | Discriminative Training Of Markov Logic Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a discriminative approach to training MLNs, one which optimizes the conditional likelihood of the query predicates given the evidence ones, rather than the joint likelihood of all predicates. |
Parag Singla; Pedro Domingos; |
| 2005 | 6 | Large-Scale Localization From Wireless Signal Strength IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a novel technique for accurately estimating the locations of mobile devices and their wearers from wireless signal strengths. |
Julia Letchner; Dieter Fox; Anthony LaMarca; |
| 2005 | 7 | Learning To Transform Natural To Formal Languages IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a method for inducing transformation rules that map natural-language sentences into a formal query or command language. |
Rohit J. Kate; Yuk Wah Wong; Raymond J. Mooney; |
| 2005 | 8 | Semantic Place Classification Of Indoor Environments With Mobile Robots Using Boosting IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a supervised learning approach to label different locations using boosting. |
Axel Rottmann; Oscar Martinez Mozos; Cyrill Stachniss; Wolfram Burgard; |
| 2005 | 9 | Mixed-Integer Programming Methods For Finding Nash Equilibria IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present, to our knowledge, the first mixed integer program (MIP) formulations for finding Nash equilibria in games (specifically, two-player normal form games). |
Tuomas Sandholm; Andrew Gilpin; Vincent Conitzer; |
| 2005 | 10 | Partial Pathfinding Using Map Abstraction And Refinement IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we introduce Partial-Refinement A* (PRA*), which can fully interleave planning and acting through path abstraction and refinement. |
Nathan Sturtevant; Michael Buro; |
| 2004 | 1 | Mining Opinion Features In Customer Reviews IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this project, we aim to summarize all the customer reviews of a product. |
Minqing Hu and Bing Liu; |
| 2004 | 2 | Learning And Inferring Transportation Routines IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces a hierarchical Markov model that can learn and infer a user’s daily movements through the community. |
Lin Liao; Dieter Fox; and Henry Kautz; |
| 2004 | 3 | Just How Mad Are You? Finding Strong And Weak Opinion Clauses IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present the first experimental results classifying the strength of opinions and other types of subjectivity and classifying the subjectivity of deeply nested clauses. |
Theresa Wilson; Janyce Wiebe; and Rebecca Hwa; |
| 2004 | 4 | QUICKXPLAIN: Preferred Explanations And Relaxations For Over-Constrained Problems IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this need, we define preferred explanations and relaxations based on user preferences between constraints and we compute them by a generic method which works for arbitrary CP, SAT, or DL solvers. |
Ulrich Junker; |
| 2004 | 5 | Dynamic Programming For Partially Observable Stochastic Games IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). |
Eric A. Hansen; Daniel S. Bernstein; and Shlomo Zilberstein; |
| 2004 | 6 | CMRadar: A Personal Assistant Agent For Calendar Management IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: One of the more compelling visions for agents research is the development of “personal assistant agents” that are tasked with making people and organizations more efficient by … |
Pragnesh Jay Modi; Manuela Veloso; Stephen F. Smith; and Jean Oh; |
| 2004 | 7 | Simple Search Methods For Finding A Nash Equilibrium IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present two simple search methods for computing a sample Nash equilibrium in a normal-form game: one for 2player games and one for n-player games. |
Ryan Porter; Eugene Nudelman; and Yoav Shoham; |
| 2004 | 8 | Branching And Pruning: An Optimal Temporal POCL Planner Based On Constraint Programming IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a domain-independent formulation of temporal planning based on Constraint Programming is introduced that successfully combines a POCL branching scheme with powerful and sound pruning rules. |
Vincent Vidal and Héctor Geffner; |
| 2004 | 9 | Visibility-Based Pursuit-Evasion With Limited Field Of View IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our goal is to develop techniques for coordinating teams of robots to execute this task in application domains such as clearing a building, for reasons of security or safety. |
Brian P. Gerkey; Sebastian Thrun; and Geoff Gordon; |
| 2004 | 10 | Interactive Information Extraction With Constrained Conditional Random Fields IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We apply this framework with two extensions: a constrained Viterbi decoding which finds the optimal field assignments consistent with the fields explicitly specified or corrected by the user; and a mechanism for estimating the confidence of each extracted field, so that low-confidence extractions can be highlighted. |
Trausti Kristjansson; Aron Culotta; Paul Viola; and Andrew McCallum; |
| 2002 | 1 | FastSLAM: A Factored Solution To The Simultaneous Localization And Mapping Problem IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents FastSLAM, an algorithm that recursively estimates the full posterior distribution over robot pose and landmark locations, yet scales logarithmically with the number of landmarks in the map. |
Michael Montemerlo and Sebastian Thrun; Carnegie Mellon University; Daphne Koller and Ben Wegbreit; Stanford Universit; |
| 2002 | 2 | Content-Boosted Collaborative Filtering For Improved Recommendations IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present an elegant and effective framework for combining content and collaboration. |
Prem Melville; Raymond J. Mooney; and Ramadass Nagarajan; University of Texas at Austin; |
| 2002 | 3 | ASSAT: Computing Answer Sets Of A Logic Program By SAT Solvers IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new translation from normal logic programs with constraints under the answer set semantics to propositional logic. |
Fangzhen Lin and Yuting Zhao; Hong Kong University of Science and Technology; |
| 2002 | 4 | D*Lite IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we apply Lifelong Planning A* to robot navigation in unknown terrain, including goal-directed navigation in unknown terrain and mapping of unknown terrain. |
Sven Koenig; Georgia Institute of Technology; Maxim Likhachev; Carnegie Mellon University; |
| 2002 | 5 | Experiences With A Mobile Robotic Guide For The Elderly IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The goal of this research is to investigate the feasibility of assisting elderly people with cognitive and physical activity limitations through interactive robotic devices, thereby improving their quality of life. |
MICHAEL MONTEMERLO et. al. |
| 2002 | 6 | A General Identification Condition For Causal Effects IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper concerns the assessment of the effects of actions or policy interventions from a combination of: (i) nonexperimental data, and (ii) substantive assumptions. |
Jin Tian and Judea Pearl; University of California; Los Angeles; |
| 2002 | 7 | Recognizing Multitasked Activities From Video Using Stochastic Context-Free Grammar IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present techniques for recognizing complex, multitasked activities from video. |
Darnell Moore; Texas Instruments; Irfan Essa; Georgia Institute of Technology; |
| 2002 | 8 | Representing And Reasoning About Mappings Between Domain Models IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present sound and complete algorithms for the corresponding inference problems. |
Jayant Madhavan; University of Washington; Philip A. Bernstein; Microsoft Research; Pedro Domingos and Alon Y. Halevy; University of Washington; |
| 2002 | 9 | Hierarchical Latent Class Models For Cluster Analysis IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose hierarchical latent class models as a framework where the local dependence problem can be addressed in a principled manner. |
Nevin L. Zhang; Hong Kong University of Science and Technology; |
| 2002 | 10 | Language Modeling For Soft Keyboards IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe how language models, combined with models of pen placement, can be used to significantly reduce the error rate of soft keyboard usage, by allowing for cases in which a key press is outside of a key boundary. |
Joshua Goodman and Gina Venolia; Microsoft Research; Keith Steury; Microsoft Corporation; Chauncey Parker; University of Washington; |
| 2000 | 1 | PROMPT: Algorithm And Tool For Automated Ontology Merging And Alignment IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We have developed and implemented PROMPT, an algorithm that provides a semi-automatic approach to ontology merging and alignment. |
Natalya Fridman Noy and Mark Musen; Stanford University; |
| 2000 | 2 | Learning Subjective Adjectives From Corpora IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper identifies strong clues of subjectivity using the results of a method for clustering words according to distributional similarity (Lin 1998), seeded by a small amount of detailed manual annotation. |
Janyce M. Wiebe; New Mexico State University; |
| 2000 | 3 | Clustering With Instance-Level Constraints IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In experiments with a partitioning variant of COBWEB, we show marked improvements with surprisingly few constraints on three of four data sets. |
Kiri Wagstaff and Claire Cardie; Cornell University; |
| 2000 | 4 | Coordination For Multi-Robot Exploration And Mapping IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper addresses the problem of exploration and mapping of an unknown environment by multiple robots. |
REID SIMMONS AND DAVID APFELBAUM et. al. |
| 2000 | 5 | Iterative Combinatorial Auctions: Theory And Practice IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce iBundle, the first iterative combinatorial auction that is optimal for a reasonable agent bidding strategy, in this case myopic best-response bidding. |
David C. Parkes and Lyle H. Ungar; University of Pennsylvania; |
| 2000 | 6 | Appearance-Based Obstacle Detection With Monocular Color Vision IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new vision-based obstacle detection method for mobile robots. |
Iwan Ulrich and Illah Nourbakhsh; Carnegie Mellon University; |
| 2000 | 7 | Class-Based Construction Of A Verb Lexicon IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an approach to building a verb lexicon compatible with WordNet but with explicitly stated syntactic and semantic information, using Levin verb classes to systematically construct lexical entries. |
Karin Kipper; Hoa Trang Dang; and Martha Palmer; University of Pennsylvania; |
| 2000 | 8 | Boosted Wrapper Induction IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Recent work in machine learning for information extraction has focused on two distinct sub-problems: the conventional problem of filling template slots from natural language text, and the problem of wrapper induction, learning simple extraction procedures (“wrappers”) for highly structured text such as Web pages produced by CGI scripts. |
Dayne Freitag; Just Research; Nicholas Kushmerick; University College Dublin; |
| 2000 | 9 | The Chimaera Ontology Environment IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In our work with ontologies and tool environments over the last few years, we have observed growing needs for automated support of two tasks: (1) merging multiple ontologies and (2) diagnosing (and evolving) ontologies. |
Deborah L. McGuinness and Richard Fikes; Stanford University; James Rice; CommerceOne; Steve Wilder; Stanford University; |
| 2000 | 10 | Information Extraction With HMM Structures Learned By Stochastic Optimization IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper demonstrates that extraction accuracy strongly depends on the selection of structure, and presents an algorithm for automatically finding good structures by stochastic optimization. |
Dayne Freitag and Andrew McCallum; Just Research; |
| 1999 | 1 | Monte Carlo Localization: Efficient Position Estimation For Mobile Robots IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new, highly efficient algorithm for mobile robot localization, called Monte Carlo Localization. |
Dieter Fox; Carnegie Mellon University; Wolfram Burgard; University of Bonn; Frank Dellaert and Sebastian Thrun; Carnegie Mellon University; |
| 1999 | 2 | Combining Collaborative Filtering With Personal Agents For Better Recommendations IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper shows that a CF framework can be used to combine personal IF agents and the opinions of a community of users to produce better recommendations than either agents or users can produce alone. |
NATHANIEL GOOD et. al. |
| 1999 | 3 | Learning Dictionaries For Information Extraction By Multi-Level Bootstrapping IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a multi-level bootstrapping algorithm for building both the semantic lexicon and extraction patterns simultaneously. |
Ellen Riloff; University of Utah and Rosie Jones; Carnegie Mellon University; |
| 1999 | 4 | Relational Learning Of Pattern-Match Rules For Information Extraction IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a system, RAPIER, that takes pairs of sample documents and filled templates and induces pattern-match rules that directly extract fillers for the slots in the template. |
Mary Elaine Califf; Illinois State University; and Raymond J. Mooney; University of Texas at Austin; |
| 1999 | 5 | A Simple, Fast, And Effective Rule Learner IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe SLIPPER, a new rule learner that generates rulesets by repeatedly boosting a simple, greedy, rule-builder. |
William W. Cohen and Yoram Singer; AT&T Labs – Research; |
| 1999 | 6 | Feature Selection For Ensembles IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present an ensemble feature selection approach that is based on genetic algorithms. |
David W. Opitz; University of Montana; |
| 1999 | 7 | Navigational Plans For Data Integration IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We consider the problem of building data integration systems when the data sources are webs of data, rather than sets of relations. |
Marc Friedman; Alon Levy; and Todd Millstein; University of Washington; |
| 1999 | 8 | MailCat: An Intelligent Assistant For Organizing E-Mail IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: When one of MailCat’s predictions is correct, the effort required to file a message is reduced to a single button click. |
Richard B. Segal and Jeffrey O. Kephart; |
| 1999 | 9 | A Policy Description Language IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we introduce PDL, a simple but expressive language to specify policies. |
Jorge Lobo; Randeep Bhatia and Shamim Naqvi; Bell Labs; |
| 1999 | 10 | Towards Multidocument Summarization By Reformulation: Progress And Prospects IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: By synthesizing information common to retrieved documents, multi-document summarization can help users of information retrieval systems to find relevant documents with a minimal amount of reading. |
KATHLEEN R. MCKEOWN et. al. |
| 1998 | 1 | Recommendation As Classification: Using Social And Content-Based Information In Recommendation IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents an inductive learning approach to recommendation that is able to use both ratings information and other forms of information about each artifact in predicting user preferences. |
Chumki Basu; Haym Hirsh; William Cohen; |
| 1998 | 2 | The Dynamics Of Reinforcement Learning In Cooperative Multiagent Systems IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We examine some of the factors that can influence the dynamics of the learning process in such a setting. |
Caroline Claus; Craig Boutilier; |
| 1998 | 3 | Learning To Extract Symbolic Knowledge From The World Wide Web IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors that of the World Wide Web. |
MARK CRAVEN et. al. |
| 1998 | 4 | Boosting Combinatorial Search Through Randomization IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a general method for introducing controlled randomization into complete search algorithms. |
Carla P. Gomes; Bart Selman; Henry Kautz; |
| 1998 | 5 | The Interactive Museum Tour-Guide Robot IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the software architecture of an autonomous tour-guide/tutor robot. |
WOLFRAM BURGARD et. al. |
| 1998 | 6 | TRIPS: An Integrated Intelligent Problem-Solving Assistant IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe one particular integrated system we have developed that supports spoken-language dialogue to collaboratively solve planning problems. |
George Ferguson; James F. Allen; |
| 1998 | 7 | Learning To Classify Text From Labeled And Unlabeled Documents IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a theoretical argument showing that, under common assumptions, unlabeled data contain information about the target function. |
Kamal Nigam; Andrew McCallum; Sebastian Thrun; Tom Mitchell; |
| 1998 | 8 | Information Extraction From HTML: Application Of A General Machine Learning Approach IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We show how information extraction can be cast as a standard machine learning problem, and argue for the suitability of relational learning in solving it. |
Dayne Freitag; |
| 1998 | 9 | OKBC: A Programmatic Foundation For Knowledge Base Interoperability IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we discuss technical design issues faced in the development of OKBC, highlight how OKBC improves upon GFP, and report on practical experiences in using it. |
Vinay K. Chaudhri; Adam Farquhar; Richard Fikes; Peter D. Karp; James P. Rice; |
| 1998 | 10 | Bayesian Q-Learning IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we adopt a Bayesian approach to maintaining this uncertain information. |
Richard Dearden; Nir Friedman; Stuart Russell; |
| 1997 | 1 | Using CSP Look-Back Techniques To Solve Real-World SAT Instances IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We report on the performance of an enhanced version of the "Davis-Putnam" (DP) proof procedure for propositional satisfiability (SAT) on large instances derived from realworld problems in planning, scheduling, and circuit diagnosis and synthesis. |
Roberto J. Bayardo Jr.; Robert C. Schrag; |
| 1997 | 2 | Statistical Parsing With A Context-Free Grammar And Word Statistics IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe a parsing system based upon a language model for English that is, in turn, based upon assigning probabilities to possible parses for a sentence. |
Eugene Charniak; |
| 1997 | 3 | Evidence For Invariants In Local Search IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present two statistical measures of the local search process that allow one to quickly find the optimal noise settings. |
David McAllester; Bart Selman; Henry Kautz; |
| 1997 | 4 | Modeling Emotions And Other Motivations In Synthetic Agents IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present Cathexis, a distributed, computational model which offers an alternative approach to model the dynamic nature of different affective phenomena, such as emotions, moods and temperaments, and provides a flexible way of modeling their influence on the behavior of synthetic autonomous agents. |
Juan D. Velásquez; |
| 1997 | 5 | Multi-Document Summarization By Graph Search And Matching IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe a new method for summarizing similarities and differences in a pair of related documents using a graph representation for text. |
Inderjeet Mani; Eric Bloedorn; |
| 1997 | 6 | A Robust And Fast Action Selection Mechanism For Planning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we develop one such algorithm by looking at planning as real time search. |
Blai Bonet; Gábor Loerincs; Héctor Geffner; |
| 1997 | 7 | An Empirical Evaluation Of Bagging And Boosting IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we evaluate these methods using both neural networks and decision trees as our classification algorithms. |
Richard Maclin; David Opitz; |
| 1997 | 8 | Lessons In Neural Network Training: Overfitting May Be Harder Than Expected IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We find that the optimal solution is typically not found. |
Steve Lawrence; C. Lee Giles; Ah Chung Tsoi; |
| 1997 | 9 | Causal Theories Of Action And Change IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We define a mathematically simple language for expressing knowledge of this kind and describe a general approach to formalizing action domains in it. |
Norman McCain; Hudson Turner; |
| 1997 | 10 | P-classIC: A Tractable Probablistic Description Logic IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present P-classIC, a probabilistic version of the description logic classIC. |
Daphne Koller; Alon Levy; Avi Pfeffer; |
| 1996 | 1 | Pushing The Envelope: Planning, Propositional Logic, And Stochastic Search IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: By combining a general, stochastic search algorithm and appropriate problem encodings based on propositional logic, we are able to solve hard planning problems many times faster than the best current planning systems. |
Henry Kautz; Bart Selman; |
| 1996 | 2 | A Model-Based Approach To Reactive Self-Configuring Systems IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes Livingstone, an implemented kernel for a model-based reactive self-configuring autonomous system. |
Brian C. Williams; P. Pandurang Nayak; |
| 1996 | 3 | Learning To Parse Database Queries Using Inductive Logic Programming IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents recent work using the CHILL parser acquisition system to automate the construction of a natural-language interface for database queries. |
John M. Zelle; Raymond J. Mooney; |
| 1996 | 4 | Estimating The Absolute Position Of A Mobile Robot Using Position Probability Grids IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the position probability grid approach to estimating the robot’s absolute position and orientation in a metric model of the environment. |
Wolfram Burgard; Dieter Fox; Daniel Hennig; Timo Schmidt; |
| 1996 | 5 | Integrating Grid-Based And Topological Maps For Mobile Robot Navigation IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes an approach that integrates both paradigms: grid-based and topological. |
Sebastian Thrun; Arno Bücken; |
| 1996 | 6 | Tree-Bank Grammars IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The primary purpose of this paper is to show that the common wisdom is wrong. |
Eugene Charniak; |
| 1996 | 7 | Learning Trees And Rules With Set-Valued Features IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: W e propose an extension of the feature-vector representation that allows the value of a feature to be a set of strings; for instance, to represent a small white and black dog with the nominal features size and species and the set-valued feature color, one might use a feature vector with size=small, species=canis-familiaris and color={ white, black}. |
William W. Cohen; |
| 1996 | 8 | Generalized Arc Consistency For Global Cardinality Constraint IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present an efficient way of implementing generalized arc consistency for a gcc. |
Jean-Charles Régin; |
| 1996 | 9 | Lazy Decision Trees IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a lazy decision tree algorithm-LazyDT-that conceptually constructs the "best" decision tree for each test instance. |
Jerome H. Friedman; Ron Kohavi; Yeogirl Yun; |
| 1996 | 10 | Identifying And Eliminating Mislabeled Training Instances IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new approach to identifying and eliminating mislabeled training instances. |
Carla E. Brodley; Mark A. Friedl; |
| 1994 | 1 | Noise Strategies For Improving Local Search IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We will compare three such mechanisms: simulated annealing, random noise, and a strategy called "mixed random walk". |
Bart Selman; Henry A. Kautz; Bram Cohen; |
| 1994 | 2 | A Filtering Algorithm For Constraints Of Difference In CSPs IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a new filtering algorithm for these constraints is presented. |
Jean-Charles Régin; |
| 1994 | 3 | HTN Planning: Complexity And Expressivity IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes how the complexity of HTN planning varies with various conditions on the task networks. |
Kutluhan Erol; James Hendler; Dana S. Nau; |
| 1994 | 4 | Some Advances In Transformation-Based Part Of Speech Tagging IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe a number of extensions to this rule-based tagger. |
Eric Brill; |
| 1994 | 5 | Acting Optimally In Partially Observable Stochastic Domains IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe the partially observable Markov decision process (POMDP) approach to finding optimal or near-optimal control strategies for partially observable stochastic environments, given a complete model of the environment. |
Anthony R. Cassandra; Leslie Pack Kaelbling; Michael L. Littman; |
| 1994 | 6 | Collaborative Interface Agents IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a framework for multi-agent collaboration and discuss results of a working prototype, based on learning agents for electronic mail. |
Yezdi Lashkari; Max Metral; Pattie Maes; |
| 1994 | 7 | Building A Large-Scale Knowledge Base For Machine Translation IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: One of the hypotheses being tested in the PANGLOSS machine translation project is whether or not these resources can be semi-automatically acquired on a very large scale. |
Kevin Knight; Steve K. Luk; |
| 1994 | 8 | Topological Mapping For Mobile Robots Using A Combination Of Sonar And Vision Sensing IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Results described in this paper show that our robot is able to perform place recognition without having to move through a sequence of places, as is the case with most currently implemented systems. |
David Kortenkamp; Terry Weymouth; |
| 1994 | 9 | Learning To Coordinate Without Sharing Information IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In order to handle the changing requirements of continuous and dynamic environments, we propose learning as a means to provide additional possibilities for effective coordination. |
Sandip Sen; Mahendra Sekaran; John Hale; |
| 1994 | 10 | ChatterBots, TinyMuds, And The Turing Test: Entering The Loebner Prize Competition IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the development of one such Turing System, including the technical design of the program and its performance on the first three Loebner Prize competitions. |
Michael L. Mauldin; |
| 1993 | 1 | Automatically Constructing A Dictionary For Information Extraction Tasks IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In response to this problem, we developed a system called AutoSlog that automatically builds a domain-specific dictionary of concepts for extracting information from text. |
Ellen Riloff; |
| 1993 | 2 | An Implementation Of The Contract Net Protocol Based On Marginal Cost Calculations IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a formalization of the bidding and awarding decision process that was left undefined in the original contract net task allocation protocol. |
Tuomas Sandholm; |
| 1993 | 3 | Learning Interface Agents IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Interface agents are computer programs that employ Artificial Intelligence techniques in order to provide assistance to a user dealing with a particular computer application. |
Pattie Maes; Robyn Kozierok; |
| 1993 | 4 | The Breakout Method For Escaping From Local Minima IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we describe an iterative improvement algorithm, called Breakout, that can escape from local minima. |
Paul Morris; |
| 1993 | 5 | Arc-Consistency And Arc-Consistency Again IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new algorithm, AC-6, which keeps the optimal worst-case time complexity of AC-4 while working out the drawback of space complexity. |
Christian Bessière; Marie-Odile Cordier; |
| 1993 | 6 | The Frame Problem And Knowledge-Producing Actions IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a solution to the frame problem for knowledge-producing actions. |
Richard B. Scherl; Hector J. Levesque; |
| 1993 | 7 | Experimental Results On The Crossover Point In Satisfiability Problems IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We have found empirically that, for Q-SAT, the number of clauses at the crossover point is a linear function of the number of variables. |
James M. Crawford; Larry D. Auton; |
| 1993 | 8 | The Paradoxical Success Of Fuzzy Logic IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper investigates the question of which aspects of fuzzy logic are essential to its practical usefulness. |
Charles Elkan; |
| 1993 | 9 | Polly: A Vision-Based Artificial Agent IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper I will describe Polly, a low cost vision-based robot that gives primitive tours. |
Ian Horswill; |
| 1993 | 10 | Towards An Understanding Of Hill-Climbing Procedures For SAT IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: By the introduction of some new variants of these procedures, we provide strong experimental evidence to support our conjecture that neither greediness nor randomness is important in these procedures. |
Ian P. Gent; Toby Walsh; |
| 1992 | 1 | A New Method For Solving Hard Satisfiability Problems IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a greedy local search procedure called GSAT for solving propositional satisfiability problems. |
Bart Selman; Hector Levesque; David Mitchell; |
| 1992 | 2 | An Analysis Of Bayesian Classifiers IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present an average-case analysis of the Bayesian classifier, a simple induction algorithm that fares remarkably well on many learning tasks. |
Pat Langley; Wayne Iba; Kevin Thompson; |
| 1992 | 3 | The Feature Selection Problem: Traditional Methods And A New Algorithm IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We review and analyze past approaches to feature selection and note their strengths and weaknesses. |
Kenji Kira; Larry A. Rendell; |
| 1992 | 4 | Hard And Easy Distributions Of SAT Problems IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We report results from large-scale experiments in satisfiability testing. |
David Mitchell; Bart Selman; Hector Levesque; |
| 1992 | 5 | ChiMerge: Discretization Of Numeric Attributes IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes ChiMerge, a general, robust algorithm that uses the x2 statistic to discretize (quantize) numeric attributes. |
Randy Kerber; |
| 1992 | 6 | Integrating Planning And Reacting In A Heterogeneous Asynchronous Architecture For Controlling Real-World Mobile Robots IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a heterogeneous, asynchronous architecture for controlling autonomous mobile robots which is capable of controlling a robot performing multiple tasks in real time in noisy, unpredictable environments. |
Erann Gat; |
| 1992 | 7 | Reinforcement Learning With Perceptual Aliasing: The Perceptual Distinctions Approach IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces the predictive distinctions approach to compensate for perceptual aliasing caused from incomplete perception of the world. |
Lonnie Chrisman; |
| 1992 | 8 | On The Synthesis Of Useful Social Laws For Artificial Agent Societies (Preliminary Report) IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a general model of social law in a computational system, and investigate some of its properties. |
Yoav Shoham; Moshe Tennenholtz; |
| 1992 | 9 | The Attribute Selection Problem In Decision Tree Generation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We address the problem of selecting an attribute and some of its values for branching during the top-down generation of decision trees. |
Usama M. Fayyad; Keki B. Irani; |
| 1992 | 10 | Adapting Bias By Gradient Descent: An Incremental Version Of Delta-Bar-Delta IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: I present a new algorithm, the Incremental Delta-Bar-Delta (IDBD) algorithm, for the learning of appropriate biases based on previous learning experience. |
Richard S. Sutton; |
| 1991 | 1 | Learning With Many Irrelevant Features IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Experimental studies are presented that compare FOCUS to the ID3 and FRINGE algorithms. |
Hussein Almuallim; Thomas G. Dietterich; |
| 1991 | 2 | Systematic Nonlinear Planning IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a simple, sound, complete, and systematic algorithm for domain independent STRIPS planning. |
David McAllester; David Rosenblitt; |
| 1991 | 3 | Automatic Programming Of Behavior-Based Robots Using Reinforcement Learning IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a general approach for automatically programming a behavior-based robot. |
Sridhar Mahadevan; Jonathan Connell; |
| 1991 | 4 | Combining Qualitative And Quantitative Constraints In Temporal Reasoning IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a general model for temporal reasoning, capable of handling both qualitative and quantitative information. |
Itay Meiri; |
| 1991 | 5 | Error-Correcting Output Codes: A General Method For Improving Multiclass Inductive Learning Programs IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper compares these three approaches to a new technique in which BCH error-correcting codes are employed as a distributed output representation. |
Thomas G. Dietterich; Ghulum Bakiri; |
| 1991 | 6 | The Clarke Tax As A Consensus Mechanism Among Automated Agents IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper examines how the Clarke tax could be used as an effective "preference revealer" in the domain of automated agents, reducing the need for explicit negotiation. |
Eithan Ephrati; Jeffrey S. Rosenschein; |
| 1991 | 7 | Eliminating Interchangeable Values In Constraint Satisfaction Problems IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper develops a concept of interchangeability of CSP values. |
Eugene C. Freuder; |
| 1991 | 8 | Integrating Metric And Qualitative Temporal Reasoning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we demonstrate how metric and Allen-style constraint networks can be integrated in a constraint-based reasoning system. |
Henry A. Kautz; Peter B. Ladkin; |
| 1991 | 9 | Preferential Semantics For Goals IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This semantic account provides a criterion for verifying the design of goal-based planning strategies, thus providing a new framework for knowledge-level analysis of planning systems. |
Michael P. Wellman; Jon Doyle; |
| 1991 | 10 | Focusing On Probable Diagnoses IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper analyzes the diverse origins of this combinatorial explosion and outlines strategies to cope with each one. |
Johan de Kleer; |
| 1990 | 1 | Dynamic Constraint Satisfaction Problems IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we formalize this notion as a dynamic constraint satisfaction problem that uses two types of constraints. |
Sanjay Mittal; Brian Falkenhainer; |
| 1990 | 2 | On Acting Together IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a formal definition of what it could mean for a group to jointly commit to a common goal, and explore how these joint commitments relate to the individual commitments of the team members. |
Hector J. Levesque; Philip R. Cohen; José H.T. Nunes; |
| 1990 | 3 | Learning To Coordinate Behaviors IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe an algorithm which allows a behavior-based robot to learn on the basis of positive and negative feedback when to activate its behaviors. |
Pattie Maes; Rodney A. Brooks; |
| 1990 | 4 | Refinement Of Approximate Domain Theories By Knowledge-Based Neural Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Standard algorithms for explanation-based learning require complete and correct knowledge bases. The KBANN system relaxes this constraint through the use of empirical learning … |
Geoffrey G. Towell; Jude W. Shavlik; Michiel O. Noordewier; |
| 1990 | 5 | Introducing The Tileworld: Experimentally Evaluating Agent Architectures IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe a system called Tileworld, which consists of a simulated robot agent and a simulated environment which is both dynamic and unpredictable. |
Martha E. Pollack; Marc Ringuette; |
| 1990 | 6 | Two Views Of Belief: Belief As Generalized Probability And Belief As Evidence IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We argue that there are (at least) two useful and quite different ways of understanding belief functions. |
Joseph Y. Halpern; Ronald Fagin; |
| 1990 | 7 | Reasoning About Qualitative Temporal Information IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address two related reasoning tasks that arise in these algebras: Given (possibly indefinite) knowledge of the relationships between some intervals or points, (1) find one or more scenarios that are consistent with the information provided, and (2) find all the feasible relations between every pair of intervals or points. |
Peter van Beek; |
| 1990 | 8 | A Qualitative Model For Space IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we describe a systematic representation that builds spatial maps based on local qualitative relations between objects. |
Amitabha Mukerjee; Gene Joe; |
| 1990 | 9 | Abductive And Default Reasoning: A Computational Core IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we explore abduction tasks similar to that of the ATMS, but which return relatively small answers. |
Bart Selman; Hector J. Levesque; |
| 1990 | 10 | Complexity Of K-Tree Structured Constraint Satisfaction Problems IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Trees have played a key role in the study of constraint satisfaction problems because problems with tree structure can be solved efficiently. |
Eugene C. Freuder; |
| 1988 | 1 | An Analysis Of Time-Dependent Planning IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a framework for exploring issues in time-dependent planning: planning in which the time available to respond to predicted events varies, and the decision making required to formulate effective responses is complex. |
Thomas Dean; Mark Boddy; |
| 1988 | 2 | Reasoning About Action Using A Possible Models Approach IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Ginsberg and Smith [6, 7] propose a new method for reasoning about action, which they term a possible worlds approach (PWA). |
Marianne Winslett; |
| 1988 | 3 | Quantitative Results Concerning The Utility Of Explanation-Based Learning IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The system produces useful control knowledge by actively searching for "good" explanations –explanations that can be profitably employed to control problem solving. |
Steven Minton; |
| 1988 | 4 | Reasoning About Evidence In Causal Explanations IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a system that solves a new problem by recalling a previous, similar problem and modifying its solution to fit the current problem. |
Phyllis Koton; |
| 1988 | 5 | Integrating Planning, Execution And Monitoring IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: IPEM, for Integrated Planning, Execution and Monitoring, provides a simple, clear and well defined framework to integrate these processes. |
Jose A. Ambros-lngerson; Sam Steel; |
| 1988 | 6 | Belief Maintenance In Dynamic Constraint Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a constraint network formulation of belief maintenance in dynamically changing environments. |
Rina Dechter; Avi Dechter; |
| 1988 | 7 | Perceptron Trees: A Case Study In Hybrid Concept Representations IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The paper presents a case study in examining the bias of two particular formalisms: decision trees and linear threshold units. |
Paul E. Utgoff; |
| 1988 | 8 | A Deductive Pattern Matcher IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the design of a pattern matcher for a knowledge representation system called LOOM. |
Robert M. MacGregor; |
| 1988 | 9 | Knowledge-Base Reduction: A New Approach To Checking Knowledge Bases For Inconsistency And Redundancy IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new approach, called knowledge-base reduction, to the problem of checking knowledge bases for inconsistency and redundancy. |
Allen Ginsberg; |
| 1988 | 10 | Reasoning Under Varying And Uncertain Resource Constraints IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe the use of decision-theory to optimize the value of computation under uncertain and varying resource limitations. |
Eric J. Horvitz; |
| 1987 | 1 | Reactive Reasoning And Planning IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, the reasoning and planning capabilities of an autonomous mobile robot are described; The reasoning system that controls the robot is designed to exhibit the kind of behavior expected of a rational agent, and is endowed with the psychological attitudes of belief, desire, and intention. |
Michael P. Georgeff; Amy L. Lansky; |
| 1987 | 2 | Pengi: An Implementation Of A Theory Of Activity IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We have used our dynamic theories to design a program, called Pengi, that engages in complex, apparently planful activity without requiring explicit models of the world. |
Philip E. Agre; David Chapman; |
| 1987 | 3 | An Investigation Into Reactive Planning In Complex Domains IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A model of purely reactive planning is proposed based on the concept of reactive action packages. |
R. James Firby; |
| 1987 | 4 | TREAT: A Better Match Algorithm For AI Production Systems IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents the TREAT match algorithm for AI production systems. |
Daniel P. Miranker; |
| 1987 | 5 | Foundations Of Assumption-based Truth Maintenance Systems: Preliminary Report IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we (1) define the concept of a Clause Management System (CMS) – a generalization of de Kleer’s ATMS, (2) motivate such systems in terms of efficiency of search and abductive reasoning, <and (3) characterize the computation affected by a CMS in terms of the concept of prime implicants. |
Raymond Reiter; Johan de Kleer; |
| 1987 | 6 | A Skeptical Theory Of Inheritance In Nonmonotonic Semantic Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a new approach to inheritance reasoning in semantic networks allowing for multiple inheritance with exceptions. |
John F. Horty; Richmond H. Thomason; David S. Touretzky; |
| 1987 | 7 | Inference In Text Understanding IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: An alternative, unified approach is proposed. |
Peter Norvig; |
| 1987 | 8 | Modular Learning In Neural Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a way of coupling autoassociative learning modules into hierarchies that should greatly improve the performance of learning algorithms in large-scale systems. |
Dana H. Ballard; |
| 1987 | 9 | On Stratified Autoepistemic Theories IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we investigate some properties of "autoepistemic logic" approach to the formalization of common sense reasoning suggested by R. Moore in [Moore, 1985]. |
Michael Gelfond; |
| 1987 | 10 | Improving Inference Through Conceptual Clustering IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents COBWEB, a conceptual clustering system that organizes data to maximize inference abilities. |
Douglas Fisher; |
| 1986 | 1 | The Multi-Purpose Incremental Learning System AQ15 And Its Testing Application To Three Medical Domains IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A surprising and potentially significant result is the demonstration that by applying the proposed method of cover truncation and analogical matching, called TRUNC, one may drastically decrease the complexity of the knowledge base without affecting its performance accuracy. |
Ryszard Michalski; Igor Mozetic; Jiarong Hong; Nada Lavrac; |
| 1986 | 2 | Constraint Propagation Algorithms For Temporal Reasoning IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper considers computational aspects of several temporal representation languages. |
Marc Vilain; Henry Kautz; |
| 1986 | 3 | And/Or Graph Representation Of Assembly Plans IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a compact representation of all possible assembly plans of a given product using AND/OR graphs. |
Luiz Homem de Mello; A. C. Sanderson; |
| 1986 | 4 | Generalized Plan Recognition IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper outlines a new theory of plan recognition that is significantly more powerful than previous approaches. |
Henry A. Kautz; James F. Allen; |
| 1986 | 5 | CHEF: A Model Of Case-Based Planning IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Case-based planning is based on the idea that a machine planner should make use of its own past experience in developing new plans, relying on its memories instead of a base of … |
Kristian J. Hammond; |
| 1986 | 6 | Default Reasoning, Nonmonotonic Logics, And The Frame Problem IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Nonmonotonic formal systems have been proposed as an extension to classical first-order logic that will capture the process of human "default reasoning" or "plausible inference" through their inference mechanisms just as modus ponens provides a model for deductive reasoning. |
Steve Hanks; Drew McDermott; |
| 1986 | 7 | The Structure-Mapping Engine IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We review the Structure-Mapping theory and describe the design of the engine. |
Brian Falkenhainer; Kenneth D. Forbus; Dedre Gentner; |
| 1986 | 8 | A Case Study Of Incremental Concept Induction IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we introduce 3 dimensions for characterizing incremental concept induction systems which relate to the cost and quality of learning. |
Jeffrey C. Schlimmer; Douglas Fisher; |
| 1986 | 9 | SNePS Considered As A Fully Intensional Propositional Semantic Network IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a formal syntax and semantics for SNePS considered as the (modeled) mind of a cognitive agent. |
Stuart C. Shapiro; William J. Rapaport; |
| 1986 | 10 | Order Of Magnitude Reasoning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a methodology for extending representation and reasoning in Qualitative Physics. |
Olivier Raiman; |
| 1984 | 1 | A Logic Of Implicit And Explicit Belief IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we point out deficiencies in current semantic treatments of knowledge and belief (including recent syntactic approaches) and suggest a new analysis in the form of a logic that avoids these shortcomings and is also more viable computationally. |
Hector J. Levesque; |
| 1984 | 2 | The Tractability Of Subsumption In Frame-Based Description Languages IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we present evidence as to how the cost of computing one kind of inference is directly related to the expressiveness of the representation language. |
Ronald J. Brachman; Hector J. Levesque; |
| 1984 | 3 | Personal Construct Theory And The Transfer Of Human Expertise IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Methods of knowledge elicitation and analysis from psychotherapy based on enhancements to George Kelly’s Personal Construct Theory are applied to this process. |
John H. Boose; |
| 1984 | 4 | Classification Problem Solving IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The classification problem-solving model provides a useful framework for recognizing and representing similar problems, for designing representation tools, and for understanding why non-classification problems require different problem-solving methods. |
William J. Clancey; |
| 1984 | 5 | Path Relaxation: Path Planning For A Mobile Robot IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Path Relaxation is a method of planning safe paths around obstacles for mobile robots. It works in two steps: a global grid starch that finds a rough path, followed by a local … |
Charles E. Thorpe; |
| 1984 | 6 | Maintaining Diversity In Genetic Search IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Genetic adaptive algorithms provide an efficient way to search large function spaces, and are increasingly being used in learning systems. |
Michael L. Mauldin; |
| 1984 | 7 | Shading Into Texture IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To extend such methods to real surfaces we must have a model that also applies to rough surfaces. |
Alex P. Pentland; |
| 1984 | 8 | Implicit Ordering Of Defaults In Inheritance Systems IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The flaws of the shortest-path ordering become apparent when we consider multiple inheritance. |
David S. Touretzky; |
| 1984 | 9 | A Theory Of Action For MultiAgent Planning IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A theory of action suitable for reasoning about events in multiagent or dynamically changing environments is presented. |
Michael Georgeff; |
| 1984 | 10 | Automated Cognitive Modeling IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we describe an approach to automating the construction of cognitive process models. |
Pat Langley; Stellan Ohlsson; |
| 1983 | 1 | Why AM And Eurisko Appear To Work IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: That task — learning new heuristics by discovery — turned out to be much more difficult than was realized initially, and we have just now achieved some successes at it. |
Douglas B. Lenat; John Seely Brown; |
| 1983 | 2 | Communication And Interaction In Multi-Agent Planning IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A method for synthesizing multi-agent plans from simpler single-agent plans is described. |
Michael Georgeff; |
| 1983 | 3 | Learning Physical Descriptions From Functional Definitions, Examples, And Precedents IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: It is easier to talk about purpose and what things are for. |
Patrick H. Winston; Boris Katz; Thomas O. Binford; Michael Lowry; |
| 1983 | 4 | On Inheritance Hierarchies With Exceptions IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Using default logic, we formalize NETL-like inheritance hierar-chies with exceptions. |
David W. Etherington; Raymond Reiter; |
| 1983 | 5 | The Advantages Of Abstract Control Knowledge In Expert System Design IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: A poorly designed knowledge base can be as cryptic as an arbitrary program and just as difficult to maintain. Representing control knowledge abstractly, separately from domain … |
William J. Clancey; |
| 1983 | 6 | Derivational Analogy And Its Role In Problem Solving IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The derivational analogy approach is advocated as a means of implementing reasoning from individual cases in expert systems.’ |
Jaime G. Carbonell; |
| 1983 | 7 | An Overview Of The Penman Text Generation System IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The problem of programming computers to produce natural language explanations and other texts on demand is an active research area in artificial intelligence. In the past, … |
William C. Mann; |
| 1983 | 8 | An Overview Of Meta-Level Architecture IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents the language, describes an appropriate, and cliscusses the issues of compiling. |
Michael R. Genesereth; |
| 1983 | 9 | The Bayesian Basis Of Common Sense Medical Diagnosis IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In the paper, we show that the objections most frequently related against the use of Bayesian statistics within the AI-in-Medicine community do not seem to hold. |
Eugene Charniak; |
| 1983 | 10 | Diagnosis Via Causal Reasoning: Paths Of Interaction And The Locality Principle IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In developing such a system for troubleshooting digital electronics, we have argued for the importance of pathways of causal interaction as a key concept. |
Randall Davis; |
| 1982 | 1 | Reverend Bayes On Inference Engines: A Distributed Hierarchical Approach IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents generalizations of Bayes likelihood-ratio updating rule which facilitate an asynchronous propagation of the impacts of new beliefs and/or new evidence in hierarchically organized inference structures with multi-hypotheses variables. |
Judea Pearl; |
| 1982 | 2 | Solving The Find-Path Problem By Good Representation Of Free Space IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: An algorithm is presented which efficiently finds good collision free paths for convex polygonal bodies through space Iittered with obstacle polygons. |
Rodney A. Brooks; |
| 1982 | 3 | Talking To UNIX In English: An Overview Of UC IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: UC (UNIX Consultant) is an intelligent natural language interface that allows naive users to communicate with the UNIX** operating system in ordinary English. UC is currently … |
Robert Wilensky; |
| 1982 | 4 | The Role Of Logic In Knowledge Representation And Commonsense Reasoning IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We take issue with the commonly held view (as expressed by Newell [1980]) that the use of representations based on formal logic is inappropriate in most applications of artificial intelligence. |
Robert C. Moore; |
| 1982 | 5 | A System For Reasoning About Time IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we describe the salient features of a new system for reasoning about time. |
Marc B. Vilain; |
| 1982 | 6 | A Nonclausal Connection-Graph Resolution Theorem-Proving Program IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: A new theorem-proving program, combining the use of non-clausal resolution and connection graphs, is described. The use of nonclausal resolution as the inference system eliminates … |
Mark E. Stickel; |
| 1982 | 7 | Diagnosis Using Hierarchical Design Models IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new algorithm for the diagnosis of computer hardware faults. |
Michael G. Genesereth; |
| 1982 | 8 | RABBIT: An Intelligent Database Assistant IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We have designed and implemented an intelligent database assistant to aid the user in formulating a query. |
Frederich N. Tou; Michael D. Williams; Richard Fikes; Austin Henderson; Thomas Malone; |
| 1982 | 9 | Deep Versus Compiled Knowledge Approaches To Diagnostic Problem-Solving IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we argue that given a body of underlying knowledge that is relevant to diagnostic reasoning in a medical domain, it is possible to create a diagnostic structure which has all the relevant aspects of the underlying knowledge "compiled" into it in such a way that all the diagnostic problems in its scope can be solved efficiently, without, generally speaking, any need to access the underlying structures. |
B. Chandrasekaran; Sanjay Mittal; |
| 1982 | 10 | Diagnosis Based On Description Of Structure And Function IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe our work to date on (i) a language for describing structure, (ii) a language for describing function, and (iii) a set of principles for troubleshooting that uses the two descriptions to guide its investigation. |
RANDALL DAVIS et. al. |
| 1980 | 1 | Interpreting Line Drawings As Three-Dimensional Surfaces IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a computational model for interpreting line drawings as three-dimensional surfaces, based on constraints on local surface orientation along extremal and discontinuity boundaries. |
Harry G. Barrow; Jay M. Tenenbaum; |
| 1980 | 2 | Locating Partially Visible Objects: The Local Feature Focus Method IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A new method of locating partially visible two-dimensional objects has been designed. |
Robert C. Bolles; |
| 1980 | 3 | An Approach To Acquiring And Applying Knowledge IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The problem addressed in this paper is how to enable a computer system to acquire facts about new domains from tutors who are experts in their respective fields, but who have little or no training in computer science. |
Norman Haas; Gary G. Hendrix; |
| 1980 | 4 | A Technique For Establishing Completeness Results In Theorem Proving With Equality IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: This is a summary of the methods and results of a longer paper of the same name which will appear elsewhere. The main result is that an automatic theorem proving system consisting … |
Gerald E. Peterson; |
| 1980 | 5 | On Waiting IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Waiting is the activity of maintaining selected aspects of a current situation over some period of time in order that certain goal-related actions can be performed in the future. … |
Arthur M. Farley; |
| 1980 | 6 | A Representation Language Language IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Toward this end, we designed and implemented RLL, a frame-based Representation Languange Language. |
Russell Greiner; Douglas B. Lenat; |
| 1980 | 7 | Spatial And Qualitative Aspects Of Reasoning About Motion IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Reasoning about motion is an important part of common sense knowledge. The spatial and qualitative aspects of reasoning about motion through free space are studied through the … |
Kenneth D. Forbus; |
| 1980 | 8 | Multiple-Agent Planning Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe a planning system that addresses these issues and show how it solves a sample problem. |
Kurt Konolige; Nils J. Nilsson; |
| 1980 | 9 | Interference Detection And Collision Avoidance Among Three Dimensional Objects IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Two methods for detecting intersections among three dimensional objects are described. |
N. Ahuja; R. T. Chien; R. Yen; N. Bridwell; |
| 1980 | 10 | Knowledge-Based Simulation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We have applied this technology to the area of large-scale simulation and have implemented ROSS, a Rule-Oriented Simulation System, that simulates military air battles. |
Philip Klahr; William S. Faught; |