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ORCID25th AAAI 2011: San Francisco, California, USA
- Wolfram Burgard, Dan Roth:
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011. AAAI Press 2011
Constraints, Satisfiability, and Search
- Ozgur Akgun, Ian Miguel, Christopher Jefferson, Alan M. Frisch, Brahim Hnich:
Extensible Automated Constraint Modelling. 4-11 - David Burkett, David Hall, Dan Klein:
Optimal Graph Search with Iterated Graph Cuts. 12-17 - Stefan Edelkamp, Peter Kissmann:
On the Complexity of BDDs for State Space Search: A Case Study in Connect Four. 18-23 - Meir Goldenberg, Nathan R. Sturtevant, Ariel Felner, Jonathan Schaeffer:
The Compressed Differential Heuristic. 24-29 - Matthew Hatem, Ethan Burns, Wheeler Ruml:
Heuristic Search for Large Problems With Real Costs. 30-35 - Federico Heras, António Morgado, João Marques-Silva:
Core-Guided Binary Search Algorithms for Maximum Satisfiability. 36-41 - Eric Huang, Richard E. Korf:
Optimal Packing of High-Precision Rectangles. 42-47 - Siddhartha Jain, Ashish Sabharwal, Meinolf Sellmann:
A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT. 48-53 - Kalev Kask, Andrew Gelfand, Lars Otten, Rina Dechter:
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models. 54-60 - Yat Chiu Law, Jimmy Ho-Man Lee, May Hiu-Chun Woo, Toby Walsh:
A Comparison of Lex Bounds for Multiset Variables in Constraint Programming. 61-67 - Thomas Léauté, Boi Faltings:
Distributed Constraint Optimization Under Stochastic Uncertainty. 68-73 - Mike Phillips, Maxim Likhachev:
Planning in Domains with Cost Function Dependent Actions. 74-80 - D. Chris Rayner, Michael H. Bowling, Nathan R. Sturtevant:
Euclidean Heuristic Optimization. 81-86 - Tim Schmidt, Rong Zhou:
Succinct Set-Encoding for State-Space Search. 87-92 - Stefan Szeider:
Limits of Preprocessing. 93-98 - Gilles Trombettoni, Ignacio Araya, Bertrand Neveu, Gilles Chabert:
Inner Regions and Interval Linearizations for Global Optimization. 99-104 - Jur van den Berg, Rajat Shah, Arthur Huang, Kenneth Y. Goldberg:
Anytime Nonparametric A. 105-111 - Robert J. Woodward, Shant Karakashian, Berthe Y. Choueiry, Christian Bessiere:
Solving Difficult CSPs with Relational Neighborhood Inverse Consistency. 112-119 - Peter Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer:
Block A*: Database-Driven Search with Applications in Any-Angle Path-Planning. 120-125
Knowledge-Based Information Systems
- Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie:
Simulated Annealing Based Influence Maximization in Social Networks. 127-132 - Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu:
Tracking User-Preference Varying Speed in Collaborative Filtering. 133-138 - Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim:
CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems. 139-144 - Matthew J. Rattigan, Marc E. Maier, David D. Jensen
:
Relational Blocking for Causal Discovery. 145-151 - Niket Tandon, Gerard de Melo, Gerhard Weikum:
Deriving a Web-Scale Common Sense Fact Database. 152-157 - Jianke Zhu, Hao Ma, Chun Chen, Jiajun Bu:
Social Recommendation Using Low-Rank Semidefinite Program. 158-163
Knowledge Representation and Reasoning
- Vaishak Belle, Gerhard Lakemeyer:
A Semantical Account of Progression in the Presence of Uncertainty. 165-170 - Piero A. Bonatti, Marco Faella, Luigi Sauro:
Adding Default Attributes to EL++. 171-176 - Michael H. Coen, M. Hidayath Ansari, Nathanael Fillmore:
Learning from Spatial Overlap. 177-182 - Giuseppe De Giacomo, Maurizio Lenzerini, Riccardo Rosati:
Higher-Order Description Logics for Domain Metamodeling. 183-188 - Alberto González-Sanchez, Rui Abreu, Hans-Gerhard Groß, Arjan J. C. van Gemund:
Spectrum-Based Sequential Diagnosis. 189-196 - Víctor Gutiérrez-Basulto, Jean Christoph Jung, Carsten Lutz, Lutz Schröder:
A Closer Look at the Probabilistic Description Logic Prob-EL. 197-202 - Tsuyoshi Idé, Masashi Sugiyama:
Trajectory Regression on Road Networks. 203-208 - Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
An Algebraic Prolog for Reasoning about Possible Worlds. 209-214 - Szymon Klarman, Víctor Gutiérrez-Basulto:
Two-Dimensional Description Logics for Context-Based Semantic Interoperability. 215-220 - Boris Konev, Roman Kontchakov, Michel Ludwig, Thomas Schneider, Frank Wolter, Michael Zakharyaschev:
Conjunctive Query Inseparability of OWL 2 QL TBoxes. 221-226 - Oliver Kutz, Till Mossakowski:
A Modular Consistency Proof for DOLCE. 227-234 - Fangzhen Lin, Mikhail Soutchanski:
Causal Theories of Actions Revisited. 235-240 - Anees Mehdi, Sebastian Rudolph:
Revisiting Semantics for Epistemic Extensions of Description Logics. 241-246 - Judea Pearl, Elias Bareinboim:
Transportability of Causal and Statistical Relations: A Formal Approach. 247-254 - Magnus Roos, Jörg Rothe, Björn Scheuermann:
How to Calibrate the Scores of Biased Reviewers by Quadratic Programming. 255-260 - Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlraith:
Preferred Explanations: Theory and Generation via Planning. 261-267 - Maonian Wu, Dongmo Zhang, Mingyi Zhang:
Language Splitting and Relevance-Based Belief Change in Horn Logic. 268-273 - Qian Yang, Jia-Huai You, Zhiyong Feng:
Integrating Rules and Description Logics by Circumscription. 274-279 - Yi Zhou, Yan Zhang:
Bounded Forgetting. 280-285 - Yi Zhou, Yan Zhang:
Progression Semantics for Disjunctive Logic Programs. 286-291
Machine Learning
- Byron Boots, Geoffrey J. Gordon:
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems. 293-300 - Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio:
Learning Structured Embeddings of Knowledge Bases. 301-306 - Kevin Robert Canini, Thomas L. Griffiths:
A Nonparametric Bayesian Model of Multi-Level Category Learning. 307-312 - Xinlei Chen, Deng Cai:
Large Scale Spectral Clustering with Landmark-Based Representation. 313-318 - Sook-Ling Chua, Stephen Marsland, Hans W. Guesgen:
Unsupervised Learning of Human Behaviours. 319-324 - Gheorghe Comanici, Doina Precup:
Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics. 325-330 - Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun:
Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization. 331-336 - Eric Eaton, Marie desJardins:
Selective Transfer Between Learning Tasks Using Task-Based Boosting. 337-343 - Hoda Eldardiry, Jennifer Neville:
Across-Model Collective Ensemble Classification. 343-349 - Zhenyong Fu, Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng, Hongtao Lu:
Symmetric Graph Regularized Constraint Propagation. 350-355 - Cuixia Gao, Naiyan Wang, Qi Rose Yu, Zhihua Zhang:
A Feasible Nonconvex Relaxation Approach to Feature Selection. 356-361 - Andrew B. Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu:
OASIS: Online Active Semi-Supervised Learning. 362-367 - Quanquan Gu, Zhenhui Li, Jiawei Han:
Learning a Kernel for Multi-Task Clustering. 368-373 - Yuhong Guo, Dale Schuurmans:
Adaptive Large Margin Training for Multilabel Classification. 374-379 - George Dimitri Konidaris, Sarah Osentoski, Philip S. Thomas:
Value Function Approximation in Reinforcement Learning Using the Fourier Basis. 380-385 - Yufeng Li, Zhi-Hua Zhou:
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection. 386-391 - Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng Yan, Changsheng Xu, Hanqing Lu:
Size Adaptive Selection of Most Informative Features. 392-397 - Yang Liu, Yan Liu, Keith C. C. Chan:
Ordinal Regression via Manifold Learning. 398-403 - Daniel Lowd, Arash Shamaei:
Mean Field Inference in Dependency Networks: An Empirical Study. 404-410 - Zhiwu Lu, Yuxin Peng:
Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization. 411-416 - Dijun Luo, Chris H. Q. Ding, Heng Huang:
Linear Discriminant Analysis: New Formulations and Overfit Analysis. 417-422 - Dijun Luo, Chris H. Q. Ding, Heng Huang:
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. 423-428 - Heng Luo, Ruimin Shen, Changyong Niu, Carsten Ullrich:
Sparse Group Restricted Boltzmann Machines. 429-434 - Timothy A. Mann, Yoonsuck Choe:
Scaling Up Reinforcement Learning through Targeted Exploration. 435-440 - Francisco S. Melo:
Differential Eligibility Vectors for Advantage Updating and Gradient Methods. 441-446 - Marion Neumann, Babak Ahmadi, Kristian Kersting:
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation. 447-452 - Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim:
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. 453-458 - Jason Pazis, Ronald Parr:
Non-Parametric Approximate Linear Programming for MDPs. 459-464 - Jonathan Sorg, Satinder Singh, Richard L. Lewis:
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents. 465-470 - Harry Strange, Reyer Zwiggelaar:
A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning. 471-476 - Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen:
Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks. 477-482 - Ke Tang, Rui Wang, Tianshi Chen:
Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems. 483-488 - Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki:
Fast Newton-CG Method for Batch Learning of Conditional Random Fields. 489-494 - Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi:
Automatic Group Sparse Coding. 495-500 - Fei Wang, Hanghang Tong, Ching-Yung Lin:
Towards Evolutionary Nonnegative Matrix Factorization. 501-506 - Hua Wang, Feiping Nie, Heng Huang:
Learning Instance Specific Distance for Multi-Instance Classification. 507-512 - Hua-Yan Wang, Qiang Yang:
Transfer Learning by Structural Analogy. 513-518 - Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen:
Efficient Subspace Segmentation via Quadratic Programming. 519-524 - Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou:
Localized K-Flats. 525-530 - Bin Wei, Christopher J. Pal:
Heterogeneous Transfer Learning with RBMs. 531-536 - Wei Wu, Hang Li, Yunhua Hu, Rong Jin:
Multi-Task Learning in Square Integrable Space. 537-542 - Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
Sparse Matrix-Variate t Process Blockmodels. 543-548 - Makoto Yamada, Masashi Sugiyama:
Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis. 549-554 - Yi Yang, Heng Tao Shen, Feiping Nie, Rongrong Ji, Xiaofang Zhou:
Nonnegative Spectral Clustering with Discriminative Regularization. 555-560 - Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan:
Transfer Latent Semantic Learning: Microblog Mining with Less Supervision. 561-566 - Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans:
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. 567-573 - Yu Zhang, Dit-Yan Yeung:
Multi-Task Learning in Heterogeneous Feature Spaces. 574-579 - Hui Zhao, Jiuqiang Han, Naiyan Wang, Congfu Xu, Zhihua Zhang:
A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products. 580-585
Multiagent Systems
- Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld:
Refinement of Strong Stackelberg Equilibria in Security Games. 587-593 - Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman:
Strategic Information Disclosure to People with Multiple Alternatives. 594-600 - Bikramjit Banerjee, Landon Kraemer:
Branch and Price for Multi-Agent Plan Recognition. 601-607 - Sofia Ceppi, Nicola Gatti, Enrico H. Gerding:
Mechanism Design for Federated Sponsored Search Auctions. 608-613 - Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. Kash:
Market Manipulation with Outside Incentives. 614-619 - Rajesh Hemant Chitnis, MohammadTaghi Hajiaghayi, Vahid Liaghat:
Parameterized Complexity of Problems in Coalitional Resource Games. 620-625 - Yuga J. Cohler, John K. Lai, David C. Parkes, Ariel D. Procaccia:
Optimal Envy-Free Cake Cutting. 626-631 - Vincent Conitzer, Dmytro Korzhyk:
Commitment to Correlated Strategies. 632-637 - Vincent Conitzer, Toby Walsh, Lirong Xia:
Dominating Manipulations in Voting with Partial Information. 638-643 - Florin Constantin, Malvika Rao, Chien-Chung Huang, David C. Parkes:
On Expressing Value Externalities in Position Auctions. 644-649 - Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich:
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias. 650-656 - Jessica Davies, George Katsirelos, Nina Narodytska, Toby Walsh:
Complexity of and Algorithms for Borda Manipulation. 657-662 - Nate Derbinsky, John E. Laird:
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. 663-668 - Nicola Gatti, Claudio Iuliano:
Computing an Extensive-Form Perfect Equilibrium in Two-Player Games. 669-674 - Mingyu Guo:
VCG Redistribution with Gross Substitutes. 675-680 - John Alexander Hawkin, Robert Holte, Duane Szafron:
Automated Action Abstraction of Imperfect Information Extensive-Form Games. 681-687 - Mohammad Tanvir Irfan, Luis E. Ortiz:
A Game-Theoretic Approach to Influence in Networks. 688-694 - Sébastien Lahaie:
A Kernel-Based Iterative Combinatorial Auction. 695-700 - Kathryn Sarah Macarthur, Ruben Stranders, Sarvapali D. Ramchurn, Nicholas R. Jennings:
A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems. 701-706 - Liam MacDermed, Karthik Sankaran Narayan, Charles Lee Isbell Jr., Lora Weiss:
Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games. 707-712 - Nina Narodytska, Toby Walsh, Lirong Xia:
Manipulation of Nanson's and Baldwin's Rules. 713-718 - Talal Rahwan, Tomasz P. Michalak, Edith Elkind, Piotr Faliszewski, Jacek Sroka, Michael J. Wooldridge, Nicholas R. Jennings:
Constrained Coalition Formation. 719-725 - Ildikó Schlotter, Piotr Faliszewski, Edith Elkind:
Campaign Management under Approval-Driven Voting Rules. 726-731 - Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra:
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. 732-737 - Xin Sui, Craig Boutilier:
Efficiency and Privacy Tradeoffs in Mechanism Design. 738-744 - David R. M. Thompson, Kevin Leyton-Brown:
Dominant-Strategy Auction Design for Agents with Uncertain, Private Values. 745-750 - Jens Witkowski, Sven Seuken, David C. Parkes:
Incentive-Compatible Escrow Mechanisms. 751-757 - Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordóñez:
Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty. 758-763 - Chongjie Zhang, Victor R. Lesser:
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs. 764-770
Multidisciplinary Topics
- Dimitrios Antos, Celso de Melo, Jonathan Gratch, Barbara J. Grosz:
The Influence of Emotion Expression on Perceptions of Trustworthiness in Negotiation. 772-778 - Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan:
Co-Evolution of Selection and Influence in Social Networks. 779-784 - Esra Erdem, Yelda Erdem, Halit Erdogan, Umut Öztok:
Finding Answers and Generating Explanations for Complex Biomedical Queries. 785-790 - Lukasz Kaiser, Lukasz Stafiniak:
First-Order Logic with Counting for General Game Playing. 791-796 - Sungjin Lee, Hyungjong Noh, Kyusong Lee, Gary Geunbae Lee:
Grammatical Error Detection for Corrective Feedback Provision in Oral Conversations. 797-802 - Wu-Jun Li, Dit-Yan Yeung:
Social Relations Model for Collaborative Filtering. 803-808 - Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, Peter Stone:
Comparing Agents' Success against People in Security Domains. 809-814 - Martin Michalowski, Mark S. Boddy, Mike Neilsen:
Bayesian Learning of Generalized Board Positions for Improved Move Prediction in Computer Go. 815-820 - Wei Pan, Nadav Aharony, Alex Pentland:
Composite Social Network for Predicting Mobile Apps Installation. 821-827 - Marco Ragni, Sven Brüssow:
Human Spatial Relational Reasoning: Processing Demands, Representations, and Cognitive Model. 828-833 - Kenneth Wingate Regan, Guy McCrossan Haworth:
Intrinsic Chess Ratings. 834-839