IJCAI 2007

472 papers

A Call Admission Control Scheme Using NeuroEvolution Algorithm in Cellular Networks Xu Yang, John Bigham
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A Comparison of Time-Space Schemes for Graphical Models Robert Mateescu, Rina Dechter
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A Conceptual Graph Approach for the Generation of Referring Expressions Madalina Croitoru, Kees van Deemter
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A Convengent Solution to Tensor Subspace Learning Huan Wang, Shuicheng Yan, Thomas S. Huang, Xiaoou Tang
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A Decision-Theoretic Model of Assistance Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli
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A Description Logic of Change Alessandro Artale, Carsten Lutz, David Toman
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A Distributed Architecture for Symbolic Data Fusion Fulvio Mastrogiovanni, Antonio Sgorbissa, Renato Zaccaria
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A Dual-Layer CRFs Based Joint Decoding Method for Cascaded Segmentation and Labeling Tasks Yanxin Shi, Mengqiu Wang
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A Dual-Pathway Neural Network Model of Control Relinquishment in Motor Skill Learning Ashish Gupta, David C. Noelle
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A Dynamic Approach for MPE and Weighted MAX-SAT Tian Sang, Paul Beame, Henry A. Kautz
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A Factor Graph Model for Software Bug Finding Ted Kremenek, Andrew Y. Ng, Dawson R. Engler
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A Faithful Integration of Description Logics with Logic Programming Boris Motik, Riccardo Rosati
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A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources Janusz Marecki, Sven Koenig, Milind Tambe
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A Flexible Unsupervised PP-Attachment Method Using Semantic Information Srinivas Medimi, Pushpak Bhattacharyya
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A Framework for Decentralized Qualitative Model-Based Diagnosis Luca Console, Claudia Picardi, Daniele Theseider Dupré
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A Fully Connectionist Model Generator for Covered First-Order Logic Programs Sebastian Bader, Pascal Hitzler, Steffen Hölldobler, Andreas Witzel
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A Fusion of Stacking with Dynamic Integration Niall Rooney, David W. Patterson
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A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham
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A General Framework for Reasoning About Inconsistency V. S. Subrahmanian, Leila Amgoud
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A General Framework for Scheduling in a Stochastic Environment Julien Bidot, Thierry Vidal, Philippe Laborie, J. Christopher Beck
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A Heuristic Search Approach to Planning with Temporally Extended Preferences Jorge A. Baier, Fahiem Bacchus, Sheila A. McIlraith
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A Hybrid Ontology Directed Feedback Selection Algorithm for Supporting Creative Problem Solving Dialogues Hao-Chuan Wang, Rohit Kumar, Carolyn Penstein Rosé, Tsai-Yen Li, Chun-Yen Chang
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A Hybridized Planner for Stochastic Domains Mausam, Piergiorgio Bertoli, Daniel S. Weld
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A Labeling Approach to the Computation of Credulous Acceptance in Argumentation Bart Verheij
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A Lattice-Based Approach to Computing Warranted Beliefs in Skeptical Argumentation Frameworks Carlos Iván Chesñevar, Guillermo Ricardo Simari
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A Logic Program Characterization of Causal Theories Paolo Ferraris
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A Logical Framework for Modularity of Ontologies Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazakov, Ulrike Sattler
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A Machine Learning Approach for Statistical Software Testing Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud
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A Model for Collective Strategy Diffusion in Agent Social Law Evolution Yichuan Jiang, Toru Ishida
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A Multi-Agent Medical System for Indian Rural Infant and Child Care Vijay Kumar Mago, M. Syamala Devi
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A Multiobjective Frontier Search Algorithm Lawrence Mandow, José-Luis Pérez-de-la-Cruz
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A New Approach for Stereo Matching in Autonomous Mobile Robot Applications Pasquale Foggia, Jean-Michel Jolion, Alessandro Limongiello, Mario Vento
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A New Perspective on Stable Models Paolo Ferraris, Joohyung Lee, Vladimir Lifschitz
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A Predictive Approach to Help-Desk Response Generation Yuval Marom, Ingrid Zukerman
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A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data Ben H. Williams, Marc Toussaint, Amos J. Storkey
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A Privacy-Sensitive Approach to Modeling Multi-Person Conversations Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes, Henry A. Kautz
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A Ranking Approach to Pronoun Resolution Pascal Denis, Jason Baldridge
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A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning Dit-Yan Yeung, Hong Chang, Guang Dai
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A Size-Based Qualitative Approach to the Representation of Spatial Granularity Hedda Rahel Schmidtke, Woontack Woo
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A Study of Residual Supports in Arc Consistency Christophe Lecoutre, Fred Hemery
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A Subspace Kernel for Nonlinear Feature Extraction Mingrui Wu, Jason D. R. Farquhar
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A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
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A Three-Stage Neural Model for Attribute Based Classification and Indexing of Fly Ashes M. A. Jayaram, M. C. Nataraja, C. N. Ravikumar
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A Tighter Error Bound for Decision Tree Learning Using PAC Learnability Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
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Abstract Interpretation of Programs for Model-Based Debugging Wolfgang Mayer, Markus Stumptner
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Acquiring a Robust Case Base for the Robot Soccer Domain Raquel Ros, Josep Lluís Arcos
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Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks Mark Hoogendoorn
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Adaptive Genetic Algorithm with Mutation and Crossover Matrices Nga Lam Law, Kwok Yip Szeto
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AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs Stéphane Ross, Brahim Chaib-draa
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All Common Subsequences Hui Wang
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Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers Kazuhiro Yoshida, Yoshimasa Tsuruoka, Yusuke Miyao, Jun'ichi Tsujii
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An Action Description Language for Iterated Belief Change Aaron Hunter, James P. Delgrande
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An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli
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An Analysis of Laplacian Methods for Value Function Approximation in MDPs Marek Petrik
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An Analysis of the Use of Tags in a Blog Recommender System Conor Hayes, Paolo Avesani, Sriharsha Veeramachaneni
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An Axiomatic Approach to Personalized Ranking Systems Alon Altman, Moshe Tennenholtz
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An Efficient Protocol for Negotiation over Multiple Indivisible Resources Sabyasachi Saha, Sandip Sen
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An Empirical Study of the Noise Impact on Cost-Sensitive Learning Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi
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An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events Rónán Mac Ruairi, Mark T. Keane
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An Experience on Reputation Models Interoperability Based on a Functional Ontology Laurent Vercouter, Sara J. Casare, Jaime Simão Sichman, Anarosa Brandão
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An Experts Algorithm for Transfer Learning Erik Talvitie, Satinder Singh
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An Extension to Conformant Planning Using Logic Programming A. Ricardo Morales, Phan Huy Tu, Tran Cao Son
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An Improved Probabilistic Ant Based Clustering for Distributed Databases Chandrasekar Ramachandran, Thanukrishnan Srinivasan
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An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism Ricardo M. Araújo, Luís C. Lamb
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Analogical Learning in a Turn-Based Strategy Game Thomas R. Hinrichs, Kenneth D. Forbus
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Appearance Based Recognition Methodology for Recognising Fingerspelling Alphabets M. G. Suraj, D. S. Guru
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Arc Consistency During Search Chavalit Likitvivatanavong, Yuanlin Zhang, Scott Shannon, James Bowen, Eugene C. Freuder
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Argumentation Based Contract Monitoring in Uncertain Domains Nir Oren, Timothy J. Norman, Alun D. Preece
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Augmented Experiment: Participatory Design with Multiagent Simulation Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuki Nakanishi
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Automated Benchmark Model Generators for Model-Based Diagnostic Inference Gregory M. Provan, Jun Wang
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Automated Design of Multistage Mechanisms Tuomas Sandholm, Vincent Conitzer, Craig Boutilier
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Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran
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Automatic Acquisition of Context-Specific Lexical Paraphrases Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu Zhang
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Automatic Decision of Piano Fingering Based on a Hidden Markov Models Yuichiro Yonebayashi, Hirokazu Kameoka, Shigeki Sagayama
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Automatic Gait Optimization with Gaussian Process Regression Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans
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Automatic Synthesis of New Behaviors from a Library of Available Behaviors Giuseppe De Giacomo, Sebastian Sardiña
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Automatic Verification of Knowledge and Time with NuSMV Alessio Lomuscio, Charles Pecheur, Franco Raimondi
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Automatically Selecting Answer Templates to Respond to Customer Emails Rahul Malik, L. Venkata Subramaniam, Saroj Kaushik
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Average-Reward Decentralized Markov Decision Processes Marek Petrik, Shlomo Zilberstein
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Avoidance of Model Re-Induction in SVM-Based Feature Selection for Text Categorization Aleksander Kolcz, Abdur Chowdhury
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AWA* - A Window Constrained Anytime Heuristic Search Algorithm Sandip Aine, P. P. Chakrabarti, Rajeev Kumar
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Backtracking Procedures for Hypertree, HyperSpread and Connected Hypertree Decomposition of CSPs Sathiamoorthy Subbarayan, Henrik Reif Andersen
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Bayesian Inverse Reinforcement Learning Deepak Ramachandran, Eyal Amir
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Bayesian Tensor Inference for Sketch-Based Facial Photo Hallucination Wei Liu, Xiaoou Tang, Jianzhuang Liu
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Belief Change Based on Global Minimisation James P. Delgrande, Jérôme Lang, Torsten Schaub
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Belief Update Revisited Jérôme Lang
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Best-First Utility-Guided Search Wheeler Ruml, Minh Binh Do
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Bidding Languages and Winner Determination for Mixed Multi-Unit Combinatorial Auctions Jesús Cerquides, Ulle Endriss, Andrea Giovannucci, Juan A. Rodríguez-Aguilar
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Boosting a Complete Technique to Find MSS and MUS Thanks to a Local Search Oracle Éric Grégoire, Bertrand Mazure, Cédric Piette
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Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data Guang Dai, Dit-Yan Yeung
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Building Portable Options: Skill Transfer in Reinforcement Learning George Dimitri Konidaris, Andrew G. Barto
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Building Structure into Local Search for SAT Duc Nghia Pham, John Thornton, Abdul Sattar
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Case Base Mining for Adaptation Knowledge Acquisition Mathieu d'Aquin, Fadi Badra, Sandrine Lafrogne, Jean Lieber, Amedeo Napoli, Laszlo Szathmary
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Case-Based Learning from Proactive Communication Santiago Ontañón, Enric Plaza
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Case-Based Multilabel Ranking Klaus Brinker, Eyke Hüllermeier
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Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System Karolina Eliasson
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Change of Representation for Statistical Relational Learning Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa
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Characterizing Solution Concepts in Games Using Knowledge-Based Programs Joseph Y. Halpern, Yoram Moses
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Characterizing the NP-PSPACE Gap in the Satisfiability Problem for Modal Logic Joseph Y. Halpern, Leandro Chaves Rêgo
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Chronicle Recognition Improvement Using Temporal Focusing and Hierarchization Christophe Dousson, Pierre Le Maigat
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Cluster-Based Selection of Statistical Answering Strategies Lucian Vlad Lita, Jaime G. Carbonell
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Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian Jeffrey Junfeng Pan, Qiang Yang
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Coalitional Bargaining with Agent Type Uncertainty Georgios Chalkiadakis, Craig Boutilier
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Coalitions in Action Logic Stefano Borgo
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Collaborative Inductive Logic Programming for Path Planning Jian Huang, Adrian R. Pearce
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Collapsed Variational Dirichlet Process Mixture Models Kenichi Kurihara, Max Welling, Yee Whye Teh
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Color Learning on a Mobile Robot: Towards Full Autonomy Under Changing Illumination Mohan Sridharan, Peter Stone
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Combining Learning and Word Sense Disambiguation for Intelligent User Profiling Giovanni Semeraro, Marco Degemmis, Pasquale Lops, Pierpaolo Basile
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Combining Topological and Directional Information for Spatial Reasoning Sanjiang Li
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Common Sense Based Joint Training of Human Activity Recognizers Shiaokai Wang, William Pentney, Ana-Maria Popescu, Tanzeem Choudhury, Matthai Philipose
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Communicating Effectively in Resource-Constrained Multi-Agent Systems Partha Sarathi Dutta, Claudia V. Goldman, Nicholas R. Jennings
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Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs Shin-ichi Minato, Ken Satoh, Taisuke Sato
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Compiling Bayesian Networks Using Variable Elimination Mark Chavira, Adnan Darwiche
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Completing Description Logic Knowledge Bases Using Formal Concept Analysis Franz Baader, Bernhard Ganter, Baris Sertkaya, Ulrike Sattler
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Complexity of Pure Equilibria in Bayesian Games Georg Gottlob, Gianluigi Greco, Toni Mancini
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Complexity Results for Checking Equivalence of Stratified Logic Programs Thomas Eiter, Michael Fink, Hans Tompits, Stefan Woltran
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Computation of Initial Modes for K-Modes Clustering Algorithm Using Evidence Accumulation Shehroz S. Khan, Shri Kant
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Computational Aspects of Analyzing Social Network Dynamics Christopher L. Barrett, Harry B. Hunt Iii, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Mayur Thakur
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Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis Evgeniy Gabrilovich, Shaul Markovitch
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Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning Yi Zhang, Xiaoming Jin
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Conditional Constraint Satisfaction: Logical Foundations and Complexity Georg Gottlob, Gianluigi Greco, Toni Mancini
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Conflict Directed Backjumping for Max-CSPs Roie Zivan, Amnon Meisels
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Conflict-Based Diagnosis: Adding Uncertainty to Model-Based Diagnosis Ildikó Flesch, Peter J. F. Lucas, Theo P. van der Weide
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Conflict-Driven Answer Set Solving Martin Gebser, Benjamin Kaufmann, André Neumann, Torsten Schaub
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Conjunctive Query Answering for the Description Logic SHIQ Birte Glimm, Ian Horrocks, Carsten Lutz, Ulrike Sattler
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Conservative Extensions in Expressive Description Logics Carsten Lutz, Dirk Walther, Frank Wolter
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Consistency Checking of Basic Cardinal Constraints over Connected Regions Isabel Navarrete, Antonio Morales, Guido Sciavicco
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Constraint and Variable Ordering Heuristics for Compiling Configuration Problems Nina Narodytska, Toby Walsh
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Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences Chih-Wei Hsu, Benjamin W. Wah, Ruoyun Huang, Yixin Chen
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Constructing Career Histories: A Case Study in Disentangling the Threads Paul R. Cohen
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Constructing New and Better Evaluation Measures for Machine Learning Jin Huang, Charles X. Ling
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Context-Driven Predictions Marc G. Bellemare, Doina Precup
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Contextual Default Reasoning Gerhard Brewka, Floris Roelofsen, Luciano Serafini
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Continuous Time Associative Bandit Problems András György, Levente Kocsis, Ivett Szabó, Csaba Szepesvári
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Control of Agent Swarms Using Generalized Centroidal Cyclic Pursuit Laws Arpita Sinha, Debasish Ghose
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Cooperating Reasoning Processes: More than Just the Sum of Their Parts Alan Bundy
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Coordination to Avoid Starvation of Bottleneck Agents in a Large Network System Rajesh Gautam, Kazuo Miyashita
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Correlation Clustering for Crosslingual Link Detection Jurgen Van Gael, Xiaojin Zhu
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Counting Complexity of Propositional Abduction Miki Hermann, Reinhard Pichler
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Dances with Words Carlo Strapparava, Alessandro Valitutti, Oliviero Stock
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Database-Text Alignment via Structured Multilabel Classification Benjamin Snyder, Regina Barzilay
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Dealing with Perception Errors in Multi-Robot System Coordination Alessandro Farinelli, Daniele Nardi, Paul Scerri, Alberto Ingenito
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Decidable Reasoning in a Modified Situation Calculus Yilan Gu, Mikhail Soutchanski
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Deictic Option Schemas Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
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Depth Estimation Using Monocular and Stereo Cues Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng
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Description Logics with Approximate Definitions - Precise Modeling of Vague Concepts Stefan Schlobach, Michel C. A. Klein, Linda Peelen
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Detect and Track Latent Factors with Online Nonnegative Matrix Factorization Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen
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Detecting Changes in Unlabeled Data Streams Using Martingale Shen-Shyang Ho, Harry Wechsler
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Detecting Stochastically Scheduled Activities in Video Massimiliano Albanese, Vincenzo Moscato, Antonio Picariello, V. S. Subrahmanian, Octavian Udrea
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Detection of Cognitive States from fMRI Data Using Machine Learning Techniques Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi
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Determining Expert Profiles (With an Application to Expert Finding) Krisztian Balog, Maarten de Rijke
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Diagnosability Testing with Satisfiability Algorithms Jussi Rintanen, Alban Grastien
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Diagnosers and Diagnosability of Succinct Transition Systems Jussi Rintanen
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DiPRA: Distributed Practical Reasoning Architecture Giovanni Pezzulo, Gianguglielmo Calvi, Cristiano Castelfranchi
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Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning Ah-Hwee Tan
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Directed Graph Embedding Mo Chen, Qiong Yang, Xiaoou Tang
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Discriminative Learning of Beam-Search Heuristics for Planning Yuehua Xu, Alan Fern, Sung Wook Yoon
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Distance Constraints in Constraint Satisfaction Emmanuel Hebrard, Barry O'Sullivan, Toby Walsh
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Distributed Data Mining: Why Do More than Aggregating Models Mohamed Aounallah, Guy W. Mineau
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Document Summarization Using Conditional Random Fields Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen
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Domain Independent Approaches for Finding Diverse Plans Biplav Srivastava, Tuan Anh Nguyen, Alfonso Gerevini, Subbarao Kambhampati, Minh Binh Do, Ivan Serina
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Dynamic Heuristics for Backtrack Search on Tree-Decomposition of CSPs Philippe Jégou, Samba Ndiaye, Cyril Terrioux
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Dynamic Interactions Between Goals and Beliefs Steven Shapiro, Gerhard Brewka
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Dynamic Mixture Models for Multiple Time-Series Xing Wei, Jimeng Sun, Xuerui Wang
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Dynamic Verification of Trust in Distributed Open Systems Nardine Osman, David Robertson
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Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
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Dynamically Weighted Hidden Markov Model for Spam Deobfuscation Seunghak Lee, Iryoung Jeong, Seungjin Choi
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Dynamics of Temporal Difference Learning Andreas Wendemuth
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Edge Partitioning in External-Memory Graph Search Rong Zhou, Eric A. Hansen
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Effective Control Knowledge Transfer Through Learning Skill and Representation Hierarchies Mehran Asadi, Manfred Huber
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Efficient and Robust Independence-Based Markov Network Structure Discovery Facundo Bromberg, Dimitris Margaritis
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Efficient Bayesian Task-Level Transfer Learning Daniel M. Roy, Leslie Pack Kaelbling
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Efficient Calculation of Personalized Document Rankings Claudia Hess, Klaus Stein
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Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals Christian Plagemann, Dieter Fox, Wolfram Burgard
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Efficient HPSG Parsing with Supertagging and CFG-Filtering Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii
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Efficient Planning of Informative Paths for Multiple Robots Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser, Maxim A. Batalin
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Efficiently Exploiting Symmetries in Real Time Dynamic Programming Shravan Matthur Narayanamurthy, Balaraman Ravindran
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Embedding Non-Ground Logic Programs into Autoepistemic Logic for Knowledge-Base Combination Jos de Bruijn, Thomas Eiter, Axel Polleres, Hans Tompits
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Emergence of Norms Through Social Learning Sandip Sen, Stéphane Airiau
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Emotions as Durative Dynamic State for Action Selection Emmanuel Tanguy, Philip J. Willis, Joanna Bryson
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Enhancing MAS Cooperative Search Through Coalition Partitioning Efrat Manisterski, David Sarne, Sarit Kraus
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Ensembles of Partially Trained SVMs with Multiplicative Updates Ivor W. Tsang, James T. Kwok
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Entailment Semantics for Rules with Priorities David Billington
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Epistemic Reasoning in Logic Programs Yan Zhang
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EQL-Lite: Effective First-Order Query Processing in Description Logics Diego Calvanese, Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini, Riccardo Rosati
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Estimating the Rate of Web Page Updates Sanasam Ranbir Singh
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Evaluating a Decision-Theoretic Approach to Tailored Example Selection Kasia Muldner, Cristina Conati
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Expectation Failure as a Basis for Agent-Based Model Diagnosis and Mixed Initiative Model Adaptation During Anomalous Plan Execution Alice M. Mulvehill, Brett Benyo, Michael T. Cox, Renu Kurien Bostwick
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Explanation-Based Feature Construction Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
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Exploiting Image Contents in Web Search Zhi-Hua Zhou, Hong-Bin Dai
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Exploiting Independence in a Decentralised and Incremental Approach of Diagnosis Marie-Odile Cordier, Alban Grastien
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Exploiting Inference Rules to Compute Lower Bounds for MAX-SAT Solving Han Lin, Kaile Su
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Exploiting Known Taxonomies in Learning Overlapping Concepts Lijuan Cai, Thomas Hofmann
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Exploiting Sensorimotor Coordination for Learning to Recognize Objects Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner
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Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments John O'Donovan, Barry Smyth, Vesile Evrim, Dennis McLeod
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Extracting Chatbot Knowledge from Online Discussion Forums Jizhou Huang, Ming Zhou, Dan Yang
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Extracting Keyphrases to Represent Relations in Social Networks from Web Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo
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Face Recognition via the Overlapping Energy Histogram Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh
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Factored Planning Using Decomposition Trees Elena Kelareva, Olivier Buffet, Jinbo Huang, Sylvie Thiébaux
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Fast (Incremental) Algorithms for Useful Classes of Simple Temporal Problems with Preferences T. K. Satish Kumar
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Fast Algorithm for Connected Row Convex Constraints Yuanlin Zhang
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Fast Image Alignment Using Anytime Algorithms Rupert Brooks, Tal Arbel, Doina Precup
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Fast Incremental Square Root Information Smoothing Michael Kaess, Ananth Ranganathan, Frank Dellaert
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Fast Planning with Iterative Macros Adi Botea, Martin Müller, Jonathan Schaeffer
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Fault-Model-Based Test Generation for Embedded Software Michael Esser, Peter Struss
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Feature Based Occupancy Grid Maps for Sonar Based Safe-Mapping Amit Kumar Pandey, K. Madhava Krishna, Mainak Nath
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Feature Mining and Neuro-Fuzzy Inference System for Steganalysis of LSB Matching Stegangoraphy in Grayscale Images Qingzhong Liu, Andrew H. Sung
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Feature Selection and Kernel Design via Linear Programming Glenn Fung, Rómer Rosales, R. Bharat Rao
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First Order Decision Diagrams for Relational MDPs Chenggang Wang, Saket Joshi, Roni Khardon
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Formal Trust Model for Multiagent Systems Yonghong Wang, Munindar P. Singh
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Formalizing Communication Protocols for Multiagent Systems Munindar P. Singh
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Forward Search Value Iteration for POMDPs Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
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From Answer Set Logic Programming to Circumscription via Logic of GK Fangzhen Lin, Yi Zhou
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From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph Based Representations Jamal Atif, Céline Hudelot, Geoffroy Fouquier, Isabelle Bloch, Elsa D. Angelini
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From Sampling to Model Counting Carla P. Gomes, Jörg Hoffmann, Ashish Sabharwal, Bart Selman
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General Game Learning Using Knowledge Transfer Bikramjit Banerjee, Peter Stone
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Generalized Additive Bayesian Network Classifiers Jianguo Li, Changshui Zhang, Tao Wang, Yimin Zhang
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Generalized Interval Projection: A New Technique for Consistent Domain Extension Carlos Grandón, Gilles Chabert, Bertrand Neveu
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Generalizing Temporal Controllability Michael D. Moffitt, Martha E. Pollack
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Generalizing the Bias Term of Support Vector Machines Wenye Li, Kwong-Sak Leung, Kin-Hong Lee
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Generating Bayes-Nash Equilibria to Design Autonomous Trading Agents Ioannis A. Vetsikas, Nicholas R. Jennings, Bart Selman
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Global/Local Dynamic Models Avi Pfeffer, Subrata Das, David Lawless, Brenda Ng
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Gossip-Based Aggregation of Trust in Decentralized Reputation Systems Ariel D. Procaccia, Yoram Bachrach, Jeffrey S. Rosenschein
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Graph Connectivity Measures for Unsupervised Word Sense Disambiguation Roberto Navigli, Mirella Lapata
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Graph Decomposition for Efficient Multi-Robot Path Planning Malcolm Ryan
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Graph-Based Semi-Supervised Learning as a Generative Model Jingrui He, Jaime G. Carbonell, Yan Liu
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Grounding Abstractions in Predictive State Representations Brian Tanner, Vadim Bulitko, Anna Koop, Cosmin Paduraru
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Grounding for Model Expansion in K-Guarded Formulas with Inductive Definitions Murray Patterson, Yongmei Liu, Eugenia Ternovska, Arvind Gupta
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GUNSAT: A Greedy Local Search Algorithm for Unsatisfiability Gilles Audemard, Laurent Simon
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Handling Alternative Activities in Resource-Constrained Project Scheduling Problems Jürgen Kuster, Dietmar Jannach, Gerhard Friedrich
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Heuristic Selection of Actions in Multiagent Reinforcement Learning Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna Helena Reali Costa
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Hierarchical Diagnosis of Multiple Faults Sajjad Ahmed Siddiqi, Jinbo Huang
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Hierarchical Heuristic Forward Search in Stochastic Domains Nicolas Meuleau, Ronen I. Brafman
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Hierarchical Multi-Channel Hidden Semi Markov Models Pradeep Natarajan, Ramakant Nevatia
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Higher-Order Potentialities and Their Reducers: A Philosophical Foundation Unifying Dynamic Modeling Methods Tibor Bosse, Jan Treur
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Holonic Multiagent Multilevel Simulation: Application to Real-Time Pedestrian Simulation in Urban Environment Nicolas Gaud, Franck Gechter, Stéphane Galland, Abder Koukam
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Hybrid Elections Broaden Complexity-Theoretic Resistance to Control Edith Hemaspaandra, Lane A. Hemaspaandra, Jörg Rothe
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Identifying Expressions of Opinion in Context Eric Breck, Yejin Choi, Claire Cardie
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Image Modeling Using Tree Structured Conditional Random Fields Pranjal Awasthi, Aakanksha Gagrani, Balaraman Ravindran
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Improving Activity Discovery with Automatic Neighborhood Estimation David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.
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Improving Anytime Point-Based Value Iteration Using Principled Point Selections Michael R. James, Michael E. Samples, Dmitri A. Dolgov
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Improving Author Coreference by Resource-Bounded Information Gathering from the Web Pallika H. Kanani, Andrew McCallum, Chris Pal
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Improving Embeddings by Flexible Exploitation of Side Information Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey
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Improving LRTA*(k) Carlos Hernández, Pedro Meseguer
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Incompleteness and Incomparability in Preference Aggregation Maria Silvia Pini, Francesca Rossi, K. Brent Venable, Toby Walsh
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Incremental Construction of Structured Hidden Markov Models Ugo Galassi, Attilio Giordana, Lorenza Saitta
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Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition Andrew M. Lovett, Morteza Dehghani, Kenneth D. Forbus
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Incremental Mechanism Design Vincent Conitzer, Tuomas Sandholm
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Infeasibility Certificates and the Complexity of the Core in Coalitional Games Enrico Malizia, Luigi Palopoli, Francesco Scarcello
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Inferring Complex Agent Motions from Partial Trajectory Observations Finnegan Southey, Wesley Loh, Dana F. Wilkinson
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Inferring Long-Term User Properties Based on Users' Location History Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideyuki Nakashima
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Information-Based Agency Carles Sierra, John K. Debenham
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Information-Theoretic Approaches to Branching in Search Andrew Gilpin, Tuomas Sandholm
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Inside-Outside Probability Computation for Belief Propagation Taisuke Sato
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Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data Rudolph Triebel, Richard Schmidt, Óscar Martínez Mozos, Wolfram Burgard
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Interactive Clustering of Text Collections According to a User-Specified Criterion Ron Bekkerman, Hema Raghavan, James Allan, Koji Eguchi
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Is the Turing Test Good Enough? the Fallacy of Resource-Unbounded Intelligence Virginia Savova, Leonid Peshkin
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ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines Marco Gori, Augusto Pucci
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Iterated Belief Contraction from First Principles Abhaya C. Nayak, Randy Goebel, Mehmet A. Orgun
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Iterated Weaker-than-Weak Dominance Shih-Fen Cheng, Michael P. Wellman
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Keep the Decision Tree and Estimate the Class Probabilities Using Its Decision Boundary Isabelle Alvarez, Stephan Bernard, Guillaume Deffuant
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Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model Narayanan Unny Edakunni, Stefan Schaal, Sethu Vijayakumar
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Kernel Conjugate Gradient for Fast Kernel Machines Nathan D. Ratliff, J. Andrew Bagnell
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Kernel Matrix Evaluation Canh Hao Nguyen, Tu Bao Ho
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Lambda Depth-First Proof Number Search and Its Application to Go Kazuki Yoshizoe, Akihiro Kishimoto, Martin Müller
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Layout Analysis of Tree-Structured Scene Frames in Comic Images Takamasa Tanaka, Kenji Shoji, Fubito Toyama, Juichi Miyamichi
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Learning "Forgiving" Hash Functions: Algorithms and Large Scale Tests Shumeet Baluja, Michele Covell
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Learning and Multiagent Reasoning for Autonomous Agents Peter Stone
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Learning and Transferring Action Schemas Paul R. Cohen, Yu-Han Chang, Clayton T. Morrison, Carole R. Beal
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Learning by Analogy: A Classification Rule for Binary and Nominal Data Sabri Bayoudh, Laurent Miclet, Arnaud Delhay
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Learning Classifiers When the Training Data Is Not IID Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao
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Learning from Partial Observations Loizos Michael
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Learning from the Report-Writing Behavior of Individuals Mohit Kumar, Nikesh Garera, Alexander I. Rudnicky
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Learning Implied Global Constraints Christian Bessiere, Remi Coletta, Thierry Petit
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Learning Policies for Embodied Virtual Agents Through Demonstration Jonathan Dinerstein, Parris K. Egbert, Dan Ventura
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Learning Question Paraphrases for QA from Encarta Logs Shiqi Zhao, Ming Zhou, Ting Liu
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Learning Restart Strategies Matteo Gagliolo, Jürgen Schmidhuber
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Learning Semantic Descriptions of Web Information Sources Mark James Carman, Craig A. Knoblock
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Learning to Count by Think Aloud Imitation Laurent Orseau
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Learning to Identify Unexpected Instances in the Test Set Xiaoli Li, Bing Liu, See-Kiong Ng
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Learning to Walk Through Imitation Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao
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Learning User Clicks in Web Search Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha
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Local Search for Balanced Submodular Clusterings Mukund Narasimhan, Jeff A. Bilmes
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Locality Sensitive Discriminant Analysis Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao
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Locating Complex Named Entities in Web Text Doug Downey, Matthew Broadhead, Oren Etzioni
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Logical Circuit Filtering Dafna Shahaf, Eyal Amir
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Logistic Regression Models for a Fast CBIR Method Based on Feature Selection Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau
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Long-Distance Mutual Exclusion for Propositional Planning Yixin Chen, Zhao Xing, Weixiong Zhang
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Loopy SAM Ananth Ranganathan, Michael Kaess, Frank Dellaert
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Machine Learning for On-Line Hardware Reconfiguration Jonathan Wildstrom, Peter Stone, Emmett Witchel, Michael Dahlin
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Managing Domain Knowledge and Multiple Models with Boosting Peng Zang, Charles Lee Isbell Jr.
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Manifold-Ranking Based Topic-Focused Multi-Document Summarization Xiaojun Wan, Jianwu Yang, Jianguo Xiao
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Marginalized Multi-Instance Kernels James T. Kwok, Pak-Ming Cheung
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Market Based Resource Allocation with Incomplete Information Bo An, Chunyan Miao, Zhiqi Shen
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Maximum Margin Coresets for Active and Noise Tolerant Learning Sariel Har-Peled, Dan Roth, Dav Zimak
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MB-DPOP: A New Memory-Bounded Algorithm for Distributed Optimization Adrian Petcu, Boi Faltings
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Mechanism Design with Partial Revelation Nathanael Hyafil, Craig Boutilier
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Mediating Between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt
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Memory-Bounded Dynamic Programming for DEC-POMDPs Sven Seuken, Shlomo Zilberstein
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MESH-Based Active Monte Carlo Recognition (MESH-AMCR) Felix von Hundelshausen, Hans-Joachim Wünsche, Marco Block, Raul Kompass, Raúl Rojas
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Metric Properties of Structured Data Visualizations Through Generative Probabilistic Modeling Peter Tiño, Nikolaos Gianniotis
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Mining Complex Patterns Across Sequences with Gap Requirements Xingquan Zhu, Xindong Wu
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Model-Based Optimization of Testing Through Reduction of Stimuli Peter Struss
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Modeling When Connections Are the Problem Johan de Kleer
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Modelling Well-Structured Argumentation Lines Diego C. Martínez, Alejandro Javier García, Guillermo Ricardo Simari
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Models of Searching and Browsing: Languages, Studies, and Application Doug Downey, Susan T. Dumais, Eric Horvitz
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Morphological Annotation of a Large Spontaneous Speech Corpus in Japanese Kiyotaka Uchimoto, Hitoshi Isahara
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Multi-Agent System That Attains Longevity via Death Megan M. Olsen, Hava T. Siegelmann
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Multi-Dimensional Bid Improvement Algorithm for Simultaneous Auctions Teddy Candale, Sandip Sen
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Multi-Document Summarization by Maximizing Informative Content-Words Wen-tau Yih, Joshua Goodman, Lucy Vanderwende, Hisami Suzuki
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Multi-Issue Negotiation Protocol for Agents: Exploring Nonlinear Utility Spaces Takayuki Ito, Hiromitsu Hattori, Mark Klein
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Multi-Winner Elections: Complexity of Manipulation, Control and Winner-Determination Ariel D. Procaccia, Jeffrey S. Rosenschein, Aviv Zohar
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Multipotential Games Dov Monderer
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Named Entity Translation with Web Mining and Transliteration Long Jiang, Ming Zhou, Lee-Feng Chien, Cheng Niu
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Natural Language Query Recommendation in Conversation Systems Shimei Pan, James Shaw
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Near-Optimal Anytime Coalition Structure Generation Talal Rahwan, Sarvapali D. Ramchurn, Viet Dung Dang, Nicholas R. Jennings
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Neighborhood MinMax Projections Feiping Nie, Shiming Xiang, Changshui Zhang
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New Constraint Programming Approaches for the Computation of Leximin-Optimal Solutions in Constraint Networks Sylvain Bouveret, Michel Lemaître
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Nogood Recording from Restarts Christophe Lecoutre, Lakhdar Sais, Sébastien Tabary, Vincent Vidal
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Non-Monotonic Temporal Logics for Goal Specification Chitta Baral, Jicheng Zhao
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Observation Reduction for Strong Plans Wei Huang, Zhonghua Wen, Yunfei Jiang, Lihua Wu
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Occam's Razor Just Got Sharper Saher Esmeir, Shaul Markovitch
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On Mining Closed Sets in Multi-Relational Data Gemma C. Garriga, Roni Khardon, Luc De Raedt
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On Modeling Multiagent Task Scheduling as a Distributed Constraint Optimization Problem Evan Sultanik, Pragnesh Jay Modi, William C. Regli
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On Natural Language Processing and Plan Recognition Christopher W. Geib, Mark Steedman
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On Reversing Actions: Algorithms and Complexity Thomas Eiter, Esra Erdem, Wolfgang Faber
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On the Automatic Scoring of Handwritten Essays Sargur N. Srihari, Rohini K. Srihari, Pavithra Babu, Harish Srinivasan
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On the Compilation of Stratified Belief Bases Under Linear and Possibilistic Logic Policies Salem Benferhat, Safa Yahi, Habiba Drias
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On the Logic of Normative Systems Thomas Ågotnes, Wiebe van der Hoek, Juan A. Rodríguez-Aguilar, Carles Sierra, Michael J. Wooldridge
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On Valued Negation Normal Form Formulas Hélène Fargier, Pierre Marquis
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One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition Yingchuan Wong, Hwee Tou Ng
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Online Learning and Exploiting Relational Models in Reinforcement Learning Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
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Online Speed Adaptation Using Supervised Learning for High-Speed, Off-Road Autonomous Driving David Stavens, Gabriel Hoffmann, Sebastian Thrun
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Open Information Extraction from the Web Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, Oren Etzioni
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Operator Component Matrix Model for IMP Program Diagnosis Zhao-Fu Fan, Yunfei Jiang
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Opinion Sentence Search Engine on Open-Domain Blog Osamu Furuse, Nobuaki Hiroshima, Setsuo Yamada, Ryoji Kataoka
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Opponent Modeling in Scrabble Mark Richards, Eyal Amir
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Optimal Multi-Sensor Based Multi Target Detection by Moving Sensors to the Maximal Clique in a Covering Graph Ganesh P. Kumar, K. Madhava Krishna
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Optimal Soft Arc Consistency Martin C. Cooper, Simon de Givry, Thomas Schiex
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Optimistic Active-Learning Using Mutual Information Yuhong Guo, Russell Greiner
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Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Sense Classes Upali Sathyajith Kohomban, Wee Sun Lee
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OSS: A Semantic Similarity Function Based on Hierarchical Ontologies Vincent Schickel-Zuber, Boi Faltings
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Parametric Kernels for Sequence Data Analysis Young-In Shin, Donald S. Fussell
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PC-DPOP: A New Partial Centralization Algorithm for Distributed Optimization Adrian Petcu, Boi Faltings, Roger Mailler
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Performance Analysis of Online Anticipatory Algorithms for Large Multistage Stochastic Integer Programs Luc Mercier, Pascal Van Hentenryck
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Peripheral-Foveal Vision for Real-Time Object Recognition and Tracking in Video Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng
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Permanents, Transport Polytopes and Positive Definite Kernels on Histograms Marco Cuturi
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Phonetic Models for Generating Spelling Variants Rahul Bhagat, Eduard H. Hovy
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Planning for Gene Regulatory Network Intervention Daniel Bryce, Seungchan Kim
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Planning for Temporally Extended Goals as Propositional Satisfiability Robert Mattmüller, Jussi Rintanen
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Planning Under Risk and Knightian Uncertainty Felipe W. Trevizan, Fábio Gagliardi Cozman, Leliane Nunes de Barros
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Planning via Petri Net Unfolding Sarah L. Hickmott, Jussi Rintanen, Sylvie Thiébaux, Langford B. White
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Planning with Goal Utility Dependencies Minh Binh Do, J. Benton, Menkes van den Briel, Subbarao Kambhampati
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Predicting and Preventing Coordination Problems in Cooperative Q-Learning Systems Nancy Fulda, Dan Ventura
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Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area Under the ROC Curve Oscar Luaces, José Ramón Quevedo, Francisco Taboada, Guillermo M. Albaiceta, Antonio Bahamonde
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Privacy and Artificial Agents, or, Is Google Reading My Email? Samir Chopra, Laurence White
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Probabilistic Consistency Boosts MAC and SAC Deepak Mehta, Marc R. C. van Dongen
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Probabilistic Go Theories Austin Parker, Fusun Yaman, Dana S. Nau, V. S. Subrahmanian
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Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors Anna Petrovskaya, Andrew Y. Ng
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ProbLog: A Probabilistic Prolog and Its Application in Link Discovery Luc De Raedt, Angelika Kimmig, Hannu Toivonen
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Progression of Situation Calculus Action Theories with Incomplete Information Stavros Vassos, Hector J. Levesque
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Property Persistence in the Situation Calculus Ryan F. Kelly, Adrian R. Pearce
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Protein Quaternary Fold Recognition Using Conditional Graphical Models Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
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Providing a Recommended Trading Agent to a Population: A Novel Approach Efrat Manisterski, Ron Katz, Sarit Kraus
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Pseudo-Aligned Multilingual Corpora Fernando Diaz, Donald Metzler
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QCSP Made Practical by Virtue of Restricted Quantification Marco Benedetti, Arnaud Lallouet, Jérémie Vautard
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Qualitative Spatial and Temporal Reasoning: Efficient Algorithms for Everyone Jochen Renz
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Qualitative Temporal Reasoning About Vague Events Steven Schockaert, Martine De Cock, Etienne E. Kerre
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Quality Guarantees on K-Optimal Solutions for Distributed Constraint Optimization Problems Jonathan P. Pearce, Milind Tambe
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Quantified Coalition Logic Thomas Ågotnes, Wiebe van der Hoek, Michael J. Wooldridge
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Quantified Constraint Satisfaction Problems: From Relaxations to Explanations Alex Ferguson, Barry O'Sullivan
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QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet
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Query-Driven Constraint Acquisition Christian Bessiere, Remi Coletta, Barry O'Sullivan, Mathias Paulin
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R-Grams: Relational Grams Niels Landwehr, Luc De Raedt
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Ranking Alternatives on the Basis of Generic Constraints and Examples - A Possibilistic Approach Romain Gérard, Souhila Kaci, Henri Prade
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Reaching Envy-Free States in Distributed Negotiation Settings Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet
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Real Boosting a La Carte with an Application to Boosting Oblique Decision Tree Claudia Henry, Richard Nock, Frank Nielsen
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Real-Time Detection of Task Switches of Desktop Users Jianqiang Shen, Lida Li, Thomas G. Dietterich
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Real-Time Heuristic Search with a Priority Queue D. Chris Rayner, Katherine Davison, Vadim Bulitko, Kenneth Anderson, Jieshan Lu
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Recent Progress in Heuristic Search: A Case Study of the Four-Peg Towers of Hanoi Problem Richard E. Korf, Ariel Felner
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Recursive Random Fields Daniel Lowd, Pedro M. Domingos
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Reducing Accidental Complexity in Planning Problems Patrik Haslum
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Reinforcement Learning of Local Shape in the Game of Go David Silver, Richard S. Sutton, Martin Müller
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Relational Knowledge with Predictive State Representations David Wingate, Vishal Soni, Britton Wolfe, Satinder Singh
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Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters Volker Nannen, A. E. Eiben
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Representations for Action Selection Learning from Real-Time Observation of Task Experts Mark A. Wood, Joanna Bryson
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Representing Kriegspiel States with Metapositions Paolo Ciancarini, Gian Piero Favini
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Resource Constraints on Computation and Communication in the Brain Sashank Varma
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Revisiting Output Coding for Sequential Supervised Learning Guohua Hao, Alan Fern
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Robust Human-Computer Interaction System Guiding a User by Providing Feedback Michael S. Ryoo, Jake K. Aggarwal
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Robust Object Tracking with a Case-Base Updating Strategy Wenhui Liao, Yan Tong, Zhiwei Zhu, Qiang Ji
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Routing Mediators Ola Rozenfeld, Moshe Tennenholtz
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RoxyBot-06: An (SAA)2 TAC Travel Agent Seong Jae Lee, Amy Greenwald, Victor Naroditskiy
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SAT Encodings of State-Space Reachability Problems in Numeric Domains Jörg Hoffmann, Carla P. Gomes, Bart Selman, Henry A. Kautz
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Scalable Diagnosability Checking of Event-Driven Systems Anika Schumann, Yannick Pencolé
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Searching for Interacting Features Zheng Zhao, Huan Liu
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SegGen: A Genetic Algorithm for Linear Text Segmentation Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion
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Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning Ashish Kapoor, Eric Horvitz, Sumit Basu
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Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery Haiying Wang, Huiru Zheng, Francisco Azuaje
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Self-Adjusting Ring Modules (SARMs) for Flexible Gait Pattern Generation Manfred Hild, Frank Pasemann
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Sellers Competing for Buyers in Online Markets: Reserve Prices, Shill Bids, and Auction Fees Enrico H. Gerding, Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings
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Semantic Indexing of a Competence mAP to Support Scientific Collaboration in a Research Community Paola Velardi, Roberto Navigli, Michaël Petit
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Semantic Precision and Recall for Ontology Alignment Evaluation Jérôme Euzenat
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Semantic Smoothing of Document Models for Agglomerative Clustering Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
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Semi-Supervised Gaussian Process Classifiers Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi
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Semi-Supervised Learning for Multi-Component Data Classification Akinori Fujino, Naonori Ueda, Kazumi Saito
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Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions Katharina Probst, Rayid Ghani, Marko Krema, Andrew E. Fano, Yan Liu
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Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks Santiago Fernández, Alex Graves, Jürgen Schmidhuber
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Sequence Prediction Exploiting Similary Information István Bíró, Zoltán Szamonek, Csaba Szepesvári
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Sequential Bundle-Bid Single-Sale Auction Algorithms for Decentralized Control Sven Koenig, Craig A. Tovey, Xiaoming Zheng, Ilgaz Sungur
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Shallow Semantics for Coreference Resolution Vincent Ng
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Sharing the Road: Autonomous Vehicles Meet Human Drivers Kurt M. Dresner, Peter Stone
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Simple Training of Dependency Parsers via Structured Boosting Qin Iris Wang, Dekang Lin, Dale Schuurmans
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Solving POMDPs Using Quadratically Constrained Linear Programs Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
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Some Effects of a Reduced Relational Vocabulary on the Whodunit Problem Daniel T. Halstead, Kenneth D. Forbus
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Speaker-Invariant Features for Automatic Speech Recognition Srinivasan Umesh, D. Rama Sanand, G. Praveen
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Spiteful Bidding in Sealed-Bid Auctions Felix Brandt, Tuomas Sandholm, Yoav Shoham
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Stable Biclustering of Gene Expression Data with Nonnegative Matrix Factorizations Liviu Badea, Doina Tilivea
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State Similarity Based Approach for Improving Performance in RL Sertan Girgin, Faruk Polat, Reda Alhajj
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State Space Search for Risk-Averse Agents Patrice Perny, Olivier Spanjaard, Louis-Xavier Storme
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Structure Inference for Bayesian Multisensory Perception and Tracking Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar
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Subtree Mining for Question Classification Problem Minh Le Nguyen, Nguyen Thanh Tri, Akira Shimazu
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Supervised Latent Semantic Indexing Using Adaptive Sprinkling Sutanu Chakraborti, Rahman Mukras, Robert Lothian, Nirmalie Wiratunga, Stuart N. K. Watt, David J. Harper
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Surprise as Shortcut for Anticipation: Clustering Mental States in Reasoning Michele Piunti, Cristiano Castelfranchi, Rino Falcone
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Symmetric Component Caching Matthew Kitching, Fahiem Bacchus
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Symmetry Breaking in Quantified Boolean Formulae Gilles Audemard, Saïd Jabbour, Lakhdar Sais
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Team Programming in Golog Under Partial Observability Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz
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Techniques for Efficient Interactive Configuration of Distribution Networks Tarik Hadzic, Andrzej Wasowski, Henrik Reif Andersen
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The Design of ESSENCE: A Constraint Language for Specifying Combinatorial Problems Alan M. Frisch, Matthew Grum, Christopher Jefferson, Bernadette Martínez Hernández, Ian Miguel
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The Effect of Restarts on the Efficiency of Clause Learning Jinbo Huang
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The Fringe-Saving A* Search Algorithm - A Feasibility Study Xiaoxun Sun, Sven Koenig
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The Ins and Outs of Critiquing David McSherry, David W. Aha
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The Logic Behind Weighted CSP Carlos Ansótegui, Maria Luisa Bonet, Jordi Levy, Felip Manyà
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The Mathematical Morpho-Logical View on Reasoning About Space Marco Aiello, Brammert Ottens
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The Role of Macros in Tractable Planning over Causal Graphs Anders Jonsson
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The Value of Observation for Monitoring Dynamic Systems Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
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Topological Mapping Through Distributed, Passive Sensors Dimitri Marinakis, Gregory Dudek
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Topological Value Iteration Algorithm for Markov Decision Processes Peng Dai, Judy Goldsmith
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Towards a Computational Model of Melody Identification in Polyphonic Music Søren Tjagvad Madsen, Gerhard Widmer
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Towards an Integration of Golog and Planning Jens Claßen, Patrick Eyerich, Gerhard Lakemeyer, Bernhard Nebel
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Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe
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Towards Runtime Behavior Adaptation for Embodied Characters Peng Zang, Manish Mehta, Michael Mateas, Ashwin Ram
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Tractable Temporal Reasoning Clare Dixon, Michael Fisher, Boris Konev
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Training Conditional Random Fields Using Virtual Evidence Boosting Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. Kautz
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Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL Manu Sharma, Michael P. Holmes, Juan Carlos Santamaría, Arya Irani, Charles Lee Isbell Jr., Ashwin Ram
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Transferring Learned Control-Knowledge Between Planners Susana Fernández, Ricardo Aler, Daniel Borrajo
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Trust Based Recommender System for Semantic Web Punam Bedi, Harmeet Kaur, Sudeep Marwaha
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Truthful Risk-Managed Combinatorial Auctions Alan Holland, Barry O'Sullivan
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Understanding Drawings by Compositional Analogy Patrick W. Yaner, Ashok K. Goel
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Unsupervised Anomaly Detection David Guthrie, Louise Guthrie, Ben Allison, Yorick Wilks
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Unsupervised Discretization Using Kernel Density Estimation Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
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Updates for Nonlinear Discriminants Edin Andelic, Martin Schafföner, Marcel Katz, Sven E. Krüger, Andreas Wendemuth
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Using a Hierarchical Bayesian Model to Handle High Cardinality Attributes with Relevant Interactions in a Classification Problem Jorge Jambeiro Filho, Jacques Wainer
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Using a Mobile Robot for Cognitive Mapping Chee K. Wong, Jochen Schmidt, Wai K. Yeap
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Using Focal Point Learning to Improve Tactic Coordination in Human-Machine Interactions Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschein
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Using Graph Algebra to Optimize Neighborhood for Isometric Mapping Guihua Wen, Lijun Jiang, Nigel R. Shadbolt
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Using Learned Policies in Heuristic-Search Planning Sung Wook Yoon, Alan Fern, Robert Givan
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Using Linear Programming for Bayesian Exploration in Markov Decision Processes Pablo Samuel Castro, Doina Precup
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Using Ontologies and the Web to Learn Lexical Semantics Aarti Gupta, Tim Oates
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Using the Probabilistic Logic Programming Language P-Log for Causal and Counterfactual Reasoning and Non-Naive Conditioning Chitta Baral, Matt Hunsaker
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Utile Distinctions for Relational Reinforcement Learning William Dabney, Amy McGovern
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Visually Tracking Football Games Based on TV Broadcasts Michael Beetz, Suat Gedikli, Jan Bandouch, Bernhard Kirchlechner, Nico von Hoyningen-Huene, Alexander Clifford Perzylo
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Voronoi Random Fields: Extracting Topological Structure of Indoor Environments via Place Labeling Stephen Friedman, Hanna Pasula, Dieter Fox
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Vote and Aggregation in Combinatorial Domains with Structured Preferences Jérôme Lang
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Waiting and Relocation Strategies in Online Stochastic Vehicle Routing Russell Bent, Pascal Van Hentenryck
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Web Page Clustering Using Heuristic Search in the Web Graph Ron Bekkerman, Shlomo Zilberstein, James Allan
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What You Seek Is What You Get: Extraction of Class Attributes from Query Logs Marius Pasca, Benjamin Van Durme
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When Is Temporal Planning Really Temporal? William Cushing, Subbarao Kambhampati, Mausam, Daniel S. Weld
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WiFi-SLAM Using Gaussian Process Latent Variable Models Brian Ferris, Dieter Fox, Neil D. Lawrence
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Winner Determination in Sequential Majority Voting Jérôme Lang, Maria Silvia Pini, Francesca Rossi, K. Brent Venable, Toby Walsh
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Word Sense Disambiguation Through Sememe Labeling Xiangyu Duan, Jun Zhao, Bo Xu
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Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri George Tsatsaronis, Michalis Vazirgiannis, Ion Androutsopoulos
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