ML Anthology

AAAI 2013

248 papers

A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang
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A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries Deyu Meng, Zongben Xu, Lei Zhang, Ji Zhao
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A Fast Bandit Algorithm for Recommendation to Users with Heterogenous Tastes Pushmeet Kohli, Mahyar Salek, Greg Stoddard
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A Fast Pairwise Heuristic for Planning Under Uncertainty Koosha Khalvati, Alan K. Mackworth
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A First-Order Formalization of Commitments and Goals for Planning Felipe Meneguzzi, Pankaj R. Telang, Munindar P. Singh
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A First-Order Logic Based Framework for Verifying Simulations Hui Meen Nyew, Nilufer Onder, Soner Önder, Zhenlin Wang
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A Framework for Aggregating Influenced CP-Nets and Its Resistance to Bribery Alberto Maran, Nicolas Maudet, Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable
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A General Formal Framework for Pathfinding Problems with Multiple Agents Esra Erdem, Doga Gizem Kisa, Umut Öztok, Peter Schüller
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A Generalized Student-T Based Approach to Mixed-Type Anomaly Detection Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu
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A Hierarchical Aspect-Sentiment Model for Online Reviews Suin Kim, Jianwen Zhang, Zheng Chen, Alice Oh, Shixia Liu
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A Hybrid Architectural Approach to Understanding and Appropriately Generating Indirect Speech Acts Gordon Michael Briggs, Matthias Scheutz
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A Kernel Density Estimate-Based Approach to Component Goodness Modeling Nuno Cardoso, Rui Abreu
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A Maximum K-Min Approach for Classification Mingzhi Dong, Liang Yin, Weihong Deng, Li Shang, Jun Guo, Honggang Zhang
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A Maximum K-Min Approach for Classification Mingzhi Dong, Liang Yin
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A Mediation Mechanism for Automated Negotiating Agents Whose Utility Changes over Time Keisuke Hara, Takayuki Ito
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A Morphogenetically Assisted Design Variation Tool Aaron Adler, Fusun Yaman, Jacob Beal, Jeffrey Cleveland, Hala Mostafa, Annan Mozeika
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A Pattern Matching Based Model for Implicit Opinion Question Identification Hadi Amiri, Zheng-Jun Zha, Tat-Seng Chua
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A Robust Bayesian Truth Serum for Non-Binary Signals Goran Radanovic, Boi Faltings
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A Simple, but NP-Hard, Motion Planning Problem Lawrence H. Erickson, Steven M. LaValle
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A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings Huijuan Shao, Manish Marwah, Naren Ramakrishnan
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A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data Qibin Zhao, Liqing Zhang, Andrzej Cichocki
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A Topic-Based Coherence Model for Statistical Machine Translation Deyi Xiong, Min Zhang
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A Tractable Leader-Follower MDP Model for Animal Disease Management Régis Sabbadin, Anne-France Viet
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AAAI Organization Carol Hamilton
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Abstract Preference Frameworks - A Unifying Perspective on Separability and Strong Equivalence Wolfgang Faber, Miroslaw Truszczynski, Stefan Woltran
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Active Task Selection for Lifelong Machine Learning Paul Ruvolo, Eric Eaton
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Active Transfer Learning for Cross-System Recommendation Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang
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Adaptive Spatio-Temporal Exploratory Models: Hemisphere-Wide Species Distributions from Massively Crowdsourced eBird Data Daniel Fink, Theodoros Damoulas, Jaimin Dave
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Advice Provision in Multiple Prospect Selection Problems Amos Azaria, Sarit Kraus
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Agent Cooperatives for Effective Power Consumption Shifting Charilaos Akasiadis, Georgios Chalkiadakis
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Algorithms for Strong Nash Equilibrium with More than Two Agents Nicola Gatti, Marco Rocco, Tuomas Sandholm
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An Agent Design for Repeated Negotiation and Information Revelation with People Noam Peled, Ya'akov (Kobi) Gal, Sarit Kraus
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An Agent Model for the Appraisal of Normative Events Based in In-Group and Out-Group Relations Nuno Ferreira, Samuel Mascarenhas, Ana Paiva, Gennaro di Tosto, Frank Dignum, John McBreen, Nick Degens, Gert Jan Hofstede, Giulia Andrighetto, Rosaria Conte
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An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging Guohua Liang, Anthony G. Cohn
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An Extended GHKM Algorithm for Inducing Lambda-SCFG Peng Li, Yang Liu, Maosong Sun
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An Optimal Task Assignment Policy and Performance Diagnosis Strategy for Heterogeneous Hadoop Cluster Shekhar Gupta
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Analyzing the Effectiveness of Adversary Modeling in Security Games Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe
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Answering Counting Aggregate Queries over Ontologies of the DL-Lite Family Egor V. Kostylev, Juan L. Reutter
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Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar Daniel Sheldon, Andrew Farnsworth, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling
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Artificial Conversational Companions Sviatlana Danilava
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Assumption-Based Planning: Generating Plans and Explanations Under Incomplete Knowledge Sammy Davis-Mendelow, Jorge A. Baier, Sheila A. McIlraith
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Automated Workflow Synthesis Haoqi Zhang, Eric Horvitz, David C. Parkes
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Automatic Extraction of Efficient Axiom Sets from Large Knowledge Bases Abhishek B. Sharma, Kenneth D. Forbus
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Automatic Identification of Conceptual Metaphors with Limited Knowledge Lisa Gandy, Nadji Allan, Mark Atallah, Ophir Frieder, Newton Howard, Sergey Kanareykin, Moshe Koppel, Mark Last, Yair Neuman, Shlomo Argamon
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Automating Collusion Detection in Sequential Games Parisa Mazrooei, Christopher Archibald, Michael Bowling
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Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition Wolfgang Ketter, Markus Peters, John Collins
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Awards Carol Hamilton
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Backdoors to Normality for Disjunctive Logic Programs Johannes Klaus Fichte, Stefan Szeider
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Backdoors to Tractability of Answer-Set Programming Johannes Klaus Fichte
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Basis Adaptation for Sparse Nonlinear Reinforcement Learning Sridhar Mahadevan, Stephen Giguere, Nicholas Jacek
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Bayesian Nonparametric Multi-Optima Policy Search in Reinforcement Learning Danilo Bruno, Sylvain Calinon, Darwin G. Caldwell
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Better Human Computation Through Principled Voting Andrew Mao, Ariel D. Procaccia, Yiling Chen
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Bounding the Cost of Stability in Games over Interaction Networks Reshef Meir, Yair Zick, Edith Elkind, Jeffrey S. Rosenschein
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Bribery in Voting with Soft Constraints Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable
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Bundling Attacks in Judgment Aggregation Noga Alon, Dvir Falik, Reshef Meir, Moshe Tennenholtz
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Causal Transportability with Limited Experiments Elias Bareinboim, Judea Pearl
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Clustering Crowds Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima
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Clustering with Complex Constraints - Algorithms and Applications Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson
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Compact RGBD Surface Models Based on Sparse Coding Michael Ruhnke, Liefeng Bo, Dieter Fox, Wolfram Burgard
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Complexity of Inferences in Polytree-Shaped Semi-Qualitative Probabilistic Networks Cassio Polpo de Campos, Fábio Gagliardi Cozman
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Composition Games for Distributed Systems: The EU Grant Games Shay Kutten, Ron Lavi, Amitabh Trehan
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Computational Aspects of Nearly Single-Peaked Electorates Gábor Erdélyi, Martin Lackner, Andreas Pfandler
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Concurrent Inference Graphs Daniel R. Schlegel
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Concurrent Reasoning with Inference Graphs Daniel R. Schlegel, Stuart C. Shapiro
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Conference Committees Carol Hamilton
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Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
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Convex Subspace Representation Learning from Multi-View Data Yuhong Guo
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Cost-Optimal Planning by Self-Interested Agents Raz Nissim, Ronen I. Brafman
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Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics Brent Edward Harrison
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Crowd Formalization of Action Conditions Walter Stephen Lasecki, Leon Weingard, Jeffrey Philip Bigham, George Ferguson
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Crowdsourcing for Deployable Intelligent Systems Walter Stephen Lasecki
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Data-Efficient Generalization of Robot Skills with Contextual Policy Search Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann
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Data-Parallel Computing Meets STRIPS Erez Karpas, Tomer Sagi, Carmel Domshlak, Avigdor Gal, Avi Mendelson, Moshe Tennenholtz
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Decoupling the Multiagent Disjunctive Temporal Problem James C. Boerkoel Jr., Edmund H. Durfee
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Discovering Hierarchical Structure for Sources and Entities Aditya Pal, Nilesh N. Dalvi, Kedar Bellare
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Distribution Kernel Methods for Multiple-Instance Learning Gary Doran
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Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications? Robert Kyle Eichelberger, Victor S. Sheng
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Domain-Specific Heuristics in Answer Set Programming Martin Gebser, Benjamin Kaufmann, Javier Romero, Ramón Otero, Torsten Schaub, Philipp Wanko
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Dynamic Minimization of Sentential Decision Diagrams Arthur Choi, Adnan Darwiche
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Dynamic Social Choice with Evolving Preferences David C. Parkes, Ariel D. Procaccia
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Effective Bilingual Constraints for Semi-Supervised Learning of Named Entity Recognizers Mengqiu Wang, Wanxiang Che, Christopher D. Manning
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Efficient Algorithms for Strong Local Consistencies in Constraint Satisfaction Problems Anastasia Paparrizou
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Efficient Evolutionary Dynamics with Extensive-Form Games Nicola Gatti, Fabio Panozzo, Marcello Restelli
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Empirical Comparison of Multi-Label Classification Algorithms Clifford A. Tawiah, Victor S. Sheng
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Enabling E-Mobility: Facility Location for Battery Loading Stations Sabine Storandt, Stefan Funke
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Enforcing Meter in Finite-Length Markov Sequences Pierre Roy, François Pachet
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Equilibria of Online Scheduling Algorithms Itai Ashlagi, Brendan Lucier, Moshe Tennenholtz
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Exploring the Contribution of Unlabeled Data in Financial Sentiment Analysis Jimmy S. J. Ren, Wei Wang, Jiawei Wang, Stephen S. Y. Liao
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Extending STR to a Higher-Order Consistency Christophe Lecoutre, Anastasia Paparrizou, Kostas Stergiou
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External Memory Best-First Search for Multiple Sequence Alignment Matthew Hatem, Wheeler Ruml
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Fast Algorithm for Modularity-Based Graph Clustering Hiroaki Shiokawa, Yasuhiro Fujiwara, Makoto Onizuka
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Fast and Exact Top-K Algorithm for PageRank Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Takeshi Mishima, Makoto Onizuka
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Fast Equilibrium Computation for Infinitely Repeated Games Garrett Andersen, Vincent Conitzer
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Filtering with Logic Programs and Its Application to General Game Playing Michael Thielscher
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Formalizing Hierarchical Clustering as Integer Linear Programming Sean Gilpin, Siegfried Nijssen, Ian N. Davidson
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From Interest to Function: Location Estimation in Social Media Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua
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From Semantic to Emotional Space in Probabilistic Sense Sentiment Analysis Mitra Mohtarami, Man Lan, Chew Lim Tan
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Generating Natural-Language Video Descriptions Using Text-Mined Knowledge Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama
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GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models Deepak Venugopal, Vibhav Gogate
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Goal-Oriented Euclidean Heuristics with Manifold Learning Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen
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Gradient Networks: Explicit Shape Matching Without Extracting Edges Edward Hsiao, Martial Hebert
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Graph Traversal Methods for Reasoning in Large Knowledge-Based Systems Abhishek B. Sharma, Kenneth D. Forbus
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Graphical Model-Based Learning in High Dimensional Feature Spaces Zhao Song, Yuke Zhu
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Greedy or Not? Best Improving Versus First Improving Stochastic Local Search for MAXSAT L. Darrell Whitley, Adele E. Howe, Doug Hains
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Grounding Natural Language References to Unvisited and Hypothetical Locations Thomas Emrys Williams, Rehj Cantrell, Gordon Briggs, Paul W. Schermerhorn, Matthias Scheutz
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GSMDPs for Multi-Robot Sequential Decision-Making João Vicente Messias, Matthijs T. J. Spaan, Pedro U. Lima
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Guiding Scientific Discovery with Explanations Using DEMUD Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore
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HC-Search: Learning Heuristics and Cost Functions for Structured Prediction Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
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Heterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval Xiaohua Zhai, Yuxin Peng, Jianguo Xiao
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Heuristic Search for Large Problems with Real Costs Matthew Hatem
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Hotspotting - A Probabilistic Graphical Model for Image Object Localization Through Crowdsourcing Mahyar Salek, Yoram Bachrach, Peter B. Key
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How Bad Is Selfish Voting? Simina Brânzei, Ioannis Caragiannis, Jamie Morgenstern, Ariel D. Procaccia
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How to Cut a Cake Before the Party Ends David Kurokawa, John K. Lai, Ariel D. Procaccia
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Hybrid Model-Based Diagnosis of Web Service Compositions Zhichun Jia, Rong Chen
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Hypothesis Exploration for Malware Detection Using Planning Shirin Sohrabi, Octavian Udrea, Anton Riabov
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Imbalanced Multiple Noisy Labeling for Supervised Learning Jing Zhang, Xindong Wu, Victor Shengli Sheng
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Improving the Performance of Consistency Algorithms by Localizing and Bolstering Propagation in a Tree Decomposition Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry
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Improving WalkSAT for Random K-Satisfiability Problem with K > 3 Shaowei Cai, Kaile Su, Chuan Luo
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Incremental Learning Framework for Indoor Scene Recognition Aram Kawewong, Rapeeporn Pimup, Osamu Hasegawa
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Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior Been Kim, Caleb M. Chacha, Julie A. Shah
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Information Sharing Under Costly Communication in Joint Exploration Igor Rochlin, David Sarne
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Instructor Rating Markets Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail, Yonatan Naamad
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Integrating Programming by Example and Natural Language Programming Mehdi Hafezi Manshadi, Daniel Gildea, James F. Allen
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Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities Muddasser Alam, Alex Rogers, Sarvapali D. Ramchurn
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Introducing Nominals to the Combined Query Answering Approaches for EL Giorgio Stefanoni, Boris Motik, Ian Horrocks
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Invited Talks Carol Hamilton
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Joint Extraction and Labeling via Graph Propagation for Dictionary Construction Doo Soon Kim, Kunal Verma, Peter Z. Yeh
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Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis Haopeng Zhang, Tarek El-Gaaly, Ahmed M. Elgammal, Zhiguo Jiang
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LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media Jeon-Hyung Kang, Kristina Lerman
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Large Landscape Conservation - Synthetic and Real-World Datasets Bistra Dilkina, Katherine J. Lai, Ronan LeBras, Yexiang Xue, Carla P. Gomes, Ashish Sabharwal, Jordan Suter, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery
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Large-Scale Hierarchical Classification via Stochastic Perceptron Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang
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Lazy Gaussian Process Committee for Real-Time Online Regression Han Xiao, Claudia Eckert
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Learning Collaborative Impedance-Based Robot Behaviors Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell, Pablo Jiménez, Carme Torras
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Learning Integrated Symbolic and Continuous Action Models for Continuous Domains Joseph Zhen Ying Xu, John E. Laird
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Learning to Efficiently Pursue Communication Goals on the Web with the GOSMR Architecture Kevin Gold
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Learning to Rank Effective Paraphrases from Query Logs for Community Question Answering Alejandro Figueroa, Guenter Neumann
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Liberal Safety for Answer Set Programs with External Sources Thomas Eiter, Michael Fink, Thomas Krennwallner, Christoph Redl
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Locate the Hate: Detecting Tweets Against Blacks Irene Kwok, Yuzhou Wang
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M-Transportability: Transportability of a Causal Effect from Multiple Environments Sanghack Lee, Vasant G. Honavar
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Making Simple Tabular ReductionWorks on Negative Table Constraints Hongbo Li, Yanchun Liang, Jinsong Guo, Zhanshan Li
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Mixed Heuristic Local Search for Protein Structure Prediction Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar
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Mixed Observability Predictive State Representations Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau
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Model Predictive Control with Uncertainty in Human Driven Systems Alexander David Styler, Illah Reza Nourbakhsh
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Model-Lite Case-Based Planning Hankz Hankui Zhuo, Tuan Anh Nguyen, Subbarao Kambhampati
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Multi-Armed Bandit with Budget Constraint and Variable Costs Wenkui Ding, Tao Qin, Xu-Dong Zhang, Tie-Yan Liu
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Multi-Cycle Query Caching in Agent Programming Natasha Alechina, Tristan M. Behrens, Mehdi Dastani, Koen V. Hindriks, Jomi Fred Hübner, Brian Logan, Hai H. Nguyen, Marc van Zee
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Multi-Label Learning with PRO Loss Miao Xu, Yufeng Li, Zhi-Hua Zhou
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Multi-Strategy Learning of Robotic Behaviours via Qualitative Reasoning Timothy Wiley
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Multi-Target Detection and Recognition by UAVs Using Online POMDPs Caroline Ponzoni Carvalho Chanel, Florent Teichteil-Königsbuch, Charles Lesire
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Multiagent Coordination for Energy Consumption Scheduling in Consumer Cooperatives Andreas Veit, Ying Xu, Ronghuo Zheng, Nilanjan Chakraborty, Katia P. Sycara
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Multiagent Knowledge and Belief Change in the Situation Calculus Liangda Fang, Yongmei Liu
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Multiagent Learning with a Noisy Global Reward Signal Scott Proper, Kagan Tumer
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Multiagent Stochastic Planning with Bayesian Policy Recognition Alessandro Panella
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Multiple Hypothesis Object Tracking for Unsupervised Self-Learning: An Ocean Eddy Tracking Application James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar
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Multiscale Manifold Learning Chang Wang, Sridhar Mahadevan
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Negotiated Learning for Smart Grid Agents: Entity Selection Based on Dynamic Partially Observable Features Prashant P. Reddy, Manuela M. Veloso
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Not Quite the Same: Identity Constraints for the Web of Linked Data Gerard de Melo
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On a Noun-Driven Syntactic Paradigm Lauren M. Stuart
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On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications Debarghya Ghoshdastidar, Ambedkar Dukkipati
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On the Social Welfare of Mechanisms for Repeated Batch Matching Elliot Anshelevich, Meenal Chhabra, Sanmay Das, Matthew Gerrior
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On the Subexponential Time Complexity of CSP Iyad A. Kanj, Stefan Szeider
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On the Value of Using Group Discounts Under Price Competition Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier
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Online Group Feature Selection from Feature Streams Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding
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Online Lazy Updates for Portfolio Selection with Transaction Costs Puja Das, Nicholas Johnson, Arindam Banerjee
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Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems Vikas K. Garg, T. S. Jayram, Balakrishnan Narayanaswamy
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Open-Loop Planning in Large-Scale Stochastic Domains Ari Weinstein, Michael L. Littman
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OpenEval: Web Information Query Evaluation Mehdi Samadi, Manuela M. Veloso, Manuel Blum
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Optimal Coalition Structure Generation in Cooperative Graph Games Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam
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Optimization of Heterogeneous Computing Resources for Robotic Mapping Adrian Ratter
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Optimizing Objective Function Parameters for Strength in Computer Game-Playing Yoshikuni Sato, Makoto Miwa, Shogo Takeuchi, Daisuke Takahashi
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PAC Optimal Exploration in Continuous Space Markov Decision Processes Jason Pazis, Ronald Parr
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PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley
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Parameterized Complexity Results for Plan Reuse Ronald de Haan, Anna Roubícková, Stefan Szeider
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Partial MUS Enumeration Alessandro Previti, João Marques-Silva
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Personalized Recommendation Based on Co-Ranking and Query-Based Collaborative Diffusion Xiao Yang, Zhaoxin Zhang, Qiang Wang
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Phase Transition and Network Structure in Realistic SAT Problems Soumya C. Kambhampati, Thomas Liu
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Planning with Multi-Valued Landmarks Lei Zhang, Chong-Jun Wang, Jun Wu, Meilin Liu, Jun-Yuan Xie
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Posted Prices Exchange for Display Advertising Contracts Yagil Engel, Moshe Tennenholtz
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Preemptive Strategies for Overcoming the Forgetting of Goals Justin Li, John E. Laird
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Preventing Unraveling in Social Networks Gets Harder Rajesh Hemant Chitnis, Fedor V. Fomin, Petr A. Golovach
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Progression of Decomposed Situation Calculus Theories Denis K. Ponomaryov, Mikhail Soutchanski
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Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs Bikramjit Banerjee
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Qualitative Planning Under Partial Observability in Multi-Agent Domains Ronen I. Brafman, Guy Shani, Shlomo Zilberstein
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Radial Restraint: A Semantically Clean Approach to Bounded Rationality for Logic Programs Benjamin Nathan Grosof, Terrance Swift
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Rank Aggregation via Low-Rank and Structured-Sparse Decomposition Yan Pan, Hanjiang Lai, Cong Liu, Yong Tang, Shuicheng Yan
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Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information Yujing Wang, Yunhai Tong, Ming Zeng
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Reasoning About Saturated Conditional Independence Under Uncertainty: Axioms, Algorithms, and Levesque's Situations to the Rescue Sebastian Link
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Reciprocal Hash Tables for Nearest Neighbor Search Xianglong Liu, Junfeng He, Bo Lang
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Red-Black Relaxed Plan Heuristics Michael Katz, Jörg Hoffmann, Carmel Domshlak
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Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP Fabian Hadiji, Kristian Kersting
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Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers George Katsirelos, Ashish Sabharwal, Horst Samulowitz, Laurent Simon
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Resource Sharing for Control of Wildland Fires Alan Tsang, Kate Larson, Rob McAlpine
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Robot Motion Planning with Dynamics as Hybrid Search Erion Plaku
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Robust Bidirectional Search via Heuristic Improvement Christopher Makoto Wilt, Wheeler Ruml
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Robust Discrete Matrix Completion Jin Huang, Feiping Nie, Heng Huang
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Robust Network Design for Multispecies Conservation Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery
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RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt
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Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition Houwen Peng, Bing Li, Rongrong Ji, Weiming Hu, Weihua Xiong, Congyan Lang
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SALL-E: Situated Agent for Language Learning Ian Perera, James F. Allen
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Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming Jason Pazis, Ronald Parr
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Search More, Disclose Less Chen Hajaj, Noam Hazon, David Sarne, Avshalom Elmalech
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Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning Classifiers Daniel J. Geschwender, Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry, Stephen D. Scott
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Sensitivity of Diffusion Dynamics to Network Uncertainty Abhijin Adiga, Chris J. Kuhlman, Henning S. Mortveit, Anil Kumar S. Vullikanti
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Simple Temporal Problems with Taboo Regions T. K. Satish Kumar, Marcello Cirillo, Sven Koenig
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Simplified Lattice Models for Protein Structure Prediction: How Good Are They? Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar
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Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering Xianchao Zhang, Xiaotong Zhang
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SMILe: Shuffled Multiple-Instance Learning Gary Doran, Soumya Ray
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Social Rankings in Human-Computer Committees Moshe Bitan, Ya'akov Gal, Sarit Kraus, Elad Dokow, Amos Azaria
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Solving Security Games on Graphs via Marginal Probabilities Joshua Letchford, Vincent Conitzer
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Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network Yingze Wang, Guang Xiang, Shi-Kuo Chang
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Spectral Rotation Versus K-Means in Spectral Clustering Jin Huang, Feiping Nie, Heng Huang
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Sponsors Carol Hamilton
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Steps Towards a Science of Heuristic Search Christopher Makoto Wilt
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Story Generation with Crowdsourced Plot Graphs Boyang Li, Stephen Lee-Urban, George Johnston, Mark O. Riedl
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Strategic Behavior When Allocating Indivisible Goods Sequentially Thomas Kalinowski, Nina Narodytska, Toby Walsh, Lirong Xia
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Structure and Intractability of Optimal Multi-Robot Path Planning on Graphs Jingjin Yu, Steven M. LaValle
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Structured Kernel-Based Reinforcement Learning Branislav Kveton, Georgios Theocharous
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Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection Xiaomei Li, Xindong Wu, Gong-Qing Wu, Xuegang Hu
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Supervised and Projected Sparse Coding for Image Classification Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding
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Supervised Coupled Dictionary Learning with Group Structures for Multi-Modal Retrieval Yueting Zhuang, Yanfei Wang, Fei Wu, Yin Zhang, Weiming Lu
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Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang, Yueting Zhuang
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Symmetry-Aware Marginal Density Estimation Mathias Niepert
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Teaching Classification Boundaries to Humans Sumit Basu, Janara Christensen
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Teamwork with Limited Knowledge of Teammates Samuel Barrett, Peter Stone, Sarit Kraus, Avi Rosenfeld
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Temporal Milestones in HTNs Fusun Yaman, Brett Benyo, Alice M. Mulvehill
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The Automated Acquisition of Suggestions from Tweets Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu
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The Cascade Auction - A Mechanism for Deterring Collusion in Auctions Uriel Feige, Gil Kalai, Moshe Tennenholtz
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The Effects of Performance-Contingent Financial Incentives in Online Labor Markets Ming Yin, Yiling Chen, Yuan Sun
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The Role of Complex Network Dynamics in the Emergence of Multiagent Coalition Mohammad Rashedul Hasan, Anita Raja
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The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions? Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan
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Ties Matter: Complexity of Manipulation When Tie-Breaking with a Random Vote Haris Aziz, Serge Gaspers, Nicholas Mattei, Nina Narodytska, Toby Walsh
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Time-Dependent Trajectory Regression on Road Networks via Multi-Task Learning Jiangchuan Zheng, Lionel M. Ni
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Timelines with Temporal Uncertainty Alessandro Cimatti, Andrea Micheli, Marco Roveri
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TONIC: Target Oriented Network Intelligence Collection for the Social Web Roni Tzvi Stern, Liron Samama, Rami Puzis, Tal Beja, Zahy Bnaya, Ariel Felner
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Tools for Preference Reasoning Ying Zhu
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Towards Cohesive Anomaly Mining Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei
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Trading Space for Time in Grid-Based Path Finding William Lee, Ramon Lawrence
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Truncated Incremental Search: Faster Replanning by Exploiting Suboptimality Sandip Aine, Maxim Likhachev
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Uncorrelated Lasso Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie
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