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ORCID27th AAAI 2013: Bellevue, Washington, USA
- Marie desJardins, Michael L. Littman:
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA. AAAI Press 2013, ISBN 978-1-57735-615-8 - Carol Hamilton:
AAAI Organization. - Carol Hamilton:
Conference Committees. - Carol Hamilton:
Awards. - Carol Hamilton:
Sponsors. - Marie desJardins, Michael L. Littman:
AAAI-13 Preface. - Hector Muñoz-Avila, David J. Stracuzzi:
IAAI-13 Preface. - Laura E. Brown, David Kauchak:
EAAI-13 Preface. - Carol Hamilton:
Invited Talks.
Main Technical Papers
- Abhijin Adiga, Chris J. Kuhlman, Henning S. Mortveit, Anil Kumar S. Vullikanti:
Sensitivity of Diffusion Dynamics to Network Uncertainty. 2-8 - Aaron Adler, Fusun Yaman, Jacob Beal, Jeffrey Cleveland, Hala Mostafa, Annan Mozeika:
A Morphogenetically Assisted Design Variation Tool. 9-15 - Sandip Aine, Maxim Likhachev:
Truncated Incremental Search: Faster Replanning by Exploiting Suboptimality. 16-24 - Muddasser Alam, Alex Rogers, Sarvapali D. Ramchurn:
Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities. 25-31 - Natasha Alechina, Tristan M. Behrens, Mehdi Dastani, Koen V. Hindriks, Jomi Fred Hübner, Brian Logan, Hai H. Nguyen, Marc van Zee:
Multi-Cycle Query Caching in Agent Programming. 32-38 - Noga Alon, Dvir Falik, Reshef Meir, Moshe Tennenholtz:
Bundling Attacks in Judgment Aggregation. 39-45 - Hadi Amiri, Zheng-Jun Zha, Tat-Seng Chua:
A Pattern Matching Based Model for Implicit Opinion Question Identification. 46-52 - Garrett Andersen, Vincent Conitzer:
Fast Equilibrium Computation for Infinitely Repeated Games. 53-59 - Elliot Anshelevich, Meenal Chhabra, Sanmay Das, Matthew Gerrior:
On the Social Welfare of Mechanisms for Repeated Batch Matching. 60-66 - Itai Ashlagi, Brendan Lucier, Moshe Tennenholtz:
Equilibria of Online Scheduling Algorithms. 67-73 - Haris Aziz
, Serge Gaspers, Nicholas Mattei, Nina Narodytska, Toby Walsh:
Ties Matter: Complexity of Manipulation when Tie-Breaking with a Random Vote. 74-80 - Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam:
Optimal Coalition Structure Generation in Cooperative Graph Games. 81-87 - Bikramjit Banerjee:
Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs. 88-94 - Elias Bareinboim, Judea Pearl:
Causal Transportability with Limited Experiments. 95-101 - Samuel Barrett, Peter Stone, Sarit Kraus, Avi Rosenfeld:
Teamwork with Limited Knowledge of Teammates. 102-108 - Sumit Basu, Janara Christensen:
Teaching Classification Boundaries to Humans. 109-115 - Moshe Bitan, Ya'akov Gal, Sarit Kraus, Elad Dokow, Amos Azaria:
Social Rankings in Human-Computer Committees. 116-122 - James C. Boerkoel Jr., Edmund H. Durfee:
Decoupling the Multiagent Disjunctive Temporal Problem. 123-129 - Ronen I. Brafman, Guy Shani, Shlomo Zilberstein:
Qualitative Planning under Partial Observability in Multi-Agent Domains. 130-137 - Simina Brânzei, Ioannis Caragiannis, Jamie Morgenstern, Ariel D. Procaccia:
How Bad Is Selfish Voting? 138-144 - Shaowei Cai, Kaile Su, Chuan Luo:
Improving WalkSAT for Random k-Satisfiability Problem with k > 3. 145-151 - Nuno Cardoso, Rui Abreu:
A Kernel Density Estimate-Based Approach to Component Goodness Modeling. 152-158 - Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail, Yonatan Naamad:
Instructor Rating Markets. 159-165 - Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie:
Uncorrelated Lasso. 166-172 - Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen:
Goal-Oriented Euclidean Heuristics with Manifold Learning. 173-179 - Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua:
From Interest to Function: Location Estimation in Social Media. 180-186 - Arthur Choi, Adnan Darwiche:
Dynamic Minimization of Sentential Decision Diagrams. 187-194 - Alessandro Cimatti, Andrea Micheli, Marco Roveri:
Timelines with Temporal Uncertainty. 195-201 - Puja Das, Nicholas Johnson, Arindam Banerjee:
Online Lazy Updates for Portfolio Selection with Transaction Costs. 202-208 - Sammy Davis-Mendelow, Jorge A. Baier, Sheila A. McIlraith:
Assumption-Based Planning: Generating Plans and Explanations under Incomplete Knowledge. 209-216 - Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks. 217-223 - Ronald de Haan, Anna Roubícková, Stefan Szeider:
Parameterized Complexity Results for Plan Reuse. 224-231 - Wenkui Ding, Tao Qin, Xu-Dong Zhang, Tie-Yan Liu:
Multi-Armed Bandit with Budget Constraint and Variable Costs. 232-238 - Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu:
The Automated Acquisition of Suggestions from Tweets. 239-245 - Mingzhi Dong, Liang Yin, Weihong Deng, Li Shang, Jun Guo, Honggang Zhang:
A Maximum K-Min Approach for Classification. 246-252 - Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli:
HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. 253-259 - Gary Doran, Soumya Ray:
SMILe: Shuffled Multiple-Instance Learning. 260-266 - Thomas Eiter, Michael Fink, Thomas Krennwallner, Christoph Redl:
Liberal Safety for Answer Set Programs with External Sources. 267-275 - Yagil Engel, Moshe Tennenholtz:
Posted Prices Exchange for Display Advertising Contracts. 276-282 - Gábor Erdélyi, Martin Lackner, Andreas Pfandler:
Computational Aspects of Nearly Single-Peaked Electorates. 283-289 - Esra Erdem, Doga Gizem Kisa, Umut Öztok, Peter Schüller:
A General Formal Framework for Pathfinding Problems with Multiple Agents. 290-296 - Wolfgang Faber, Miroslaw Truszczynski, Stefan Woltran:
Abstract Preference Frameworks - a Unifying Perspective on Separability and Strong Equivalence. 297-303 - Liangda Fang, Yongmei Liu:
Multiagent Knowledge and Belief Change in the Situation Calculus. 304-312 - Uriel Feige, Gil Kalai, Moshe Tennenholtz:
The Cascade Auction - A Mechanism for Deterring Collusion in Auctions. 313-319 - Johannes Klaus Fichte, Stefan Szeider:
Backdoors to Normality for Disjunctive Logic Programs. 320-327 - Lisa Gandy, Nadji Allan, Mark Atallah, Ophir Frieder, Newton Howard, Sergey Kanareykin, Moshe Koppel, Mark Last, Yair Neuman, Shlomo Argamon:
Automatic Identification of Conceptual Metaphors With Limited Knowledge. 328-334 - Nicola Gatti, Fabio Panozzo, Marcello Restelli:
Efficient Evolutionary Dynamics with Extensive-Form Games. 335-341 - Nicola Gatti, Marco Rocco, Tuomas Sandholm:
Algorithms for Strong Nash Equilibrium with More than Two Agents. 342-349 - Martin Gebser, Benjamin Kaufmann, Javier Romero, Ramón Otero, Torsten Schaub, Philipp Wanko:
Domain-Specific Heuristics in Answer Set Programming. 350-356 - Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague:
Vesselness Features and the Inverse Compositional AAM for Robust Face Recognition Using Thermal IR. 357-364 - Debarghya Ghoshdastidar, Ambedkar Dukkipati:
On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications. 365-371 - Sean Gilpin, Siegfried Nijssen, Ian N. Davidson:
Formalizing Hierarchical Clustering as Integer Linear Programming. 372-378 - Benjamin Nathan Grosof, Terrance Swift:
Radial Restraint: A Semantically Clean Approach to Bounded Rationality for Logic Programs. 379-386 - Yuhong Guo:
Convex Subspace Representation Learning from Multi-View Data. 387-393 - Fabian Hadiji, Kristian Kersting:
Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP. 394-400 - Chen Hajaj, Noam Hazon, David Sarne, Avshalom Elmalech:
Search More, Disclose Less. 401-408 - Matthew Hatem, Wheeler Ruml:
External Memory Best-First Search for Multiple Sequence Alignment. 409-416 - Edward Hsiao, Martial Hebert:
Gradient Networks: Explicit Shape Matching Without Extracting Edges. 417-423 - Jin Huang, Feiping Nie, Heng Huang:
Robust Discrete Matrix Completion. 424-430 - Jin Huang, Feiping Nie, Heng Huang:
Spectral Rotation versus K-Means in Spectral Clustering. 431-437 - Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Supervised and Projected Sparse Coding for Image Classification. 438-444 - Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
Unsupervised Cluster Matching via Probabilistic Latent Variable Models. 445-451 - Thomas Kalinowski, Nina Narodytska, Toby Walsh, Lirong Xia:
Strategic Behavior when Allocating Indivisible Goods Sequentially. 452-458 - Iyad A. Kanj, Stefan Szeider:
On the Subexponential Time Complexity of CSP. 459-465 - Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry:
Improving the Performance of Consistency Algorithms by Localizing and Bolstering Propagation in a Tree Decomposition. 466-473 - Erez Karpas, Tomer Sagi, Carmel Domshlak, Avigdor Gal, Avi Mendelson, Moshe Tennenholtz:
Data-Parallel Computing Meets STRIPS. 474-480 - George Katsirelos, Ashish Sabharwal, Horst Samulowitz, Laurent Simon:
Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers. 481-488 - Michael Katz, Jörg Hoffmann, Carmel Domshlak:
Red-Black Relaxed Plan Heuristics. 489-495 - Aram Kawewong, Rapeeporn Pimup, Osamu Hasegawa:
Incremental Learning Framework for Indoor Scene Recognition. 496-502 - Koosha Khalvati, Alan K. Mackworth:
A Fast Pairwise Heuristic for Planning under Uncertainty. 503-509 - Doo Soon Kim, Kunal Verma, Peter Z. Yeh:
Joint Extraction and Labeling via Graph Propagation for Dictionary Construction. 510-517 - Kye-Hyeon Kim, Seungjin Choi:
Walking on Minimax Paths for k-NN Search. 518-525 - Suin Kim, Jianwen Zhang, Zheng Chen, Alice Oh, Shixia Liu:
A Hierarchical Aspect-Sentiment Model for Online Reviews. 526-533 - Egor V. Kostylev, Juan L. Reutter:
Answering Counting Aggregate Queries over Ontologies of the DL-Lite Family. 534-540 - Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama:
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. 541-547 - T. K. Satish Kumar, Marcello Cirillo, Sven Koenig:
Simple Temporal Problems with Taboo Regions. 548-554 - David Kurokawa, John K. Lai, Ariel D. Procaccia:
How to Cut a Cake Before the Party Ends. 555-561 - Shay Kutten, Ron Lavi, Amitabh Trehan:
Composition Games for Distributed Systems: The EU Grant Games. 562-568 - Branislav Kveton, Georgios Theocharous:
Structured Kernel-Based Reinforcement Learning. 569-575 - Christophe Lecoutre, Anastasia Paparrizou, Kostas Stergiou:
Extending STR to a Higher-Order Consistency. 576-582 - Sanghack Lee, Vasant G. Honavar:
m-Transportability: Transportability of a Causal Effect from Multiple Environments. 583-590 - Joshua Letchford, Vincent Conitzer:
Solving Security Games on Graphs via Marginal Probabilities. 591-597 - Boyang Li, Stephen Lee-Urban, George Johnston, Mark O. Riedl:
Story Generation with Crowdsourced Plot Graphs. 598-604 - Peng Li, Yang Liu, Maosong Sun:
An Extended GHKM Algorithm for Inducing Lambda-SCFG. 605-611 - Sebastian Link:
Reasoning about Saturated Conditional Independence Under Uncertainty: Axioms, Algorithms, and Levesque's Situations to the Rescue. 612-618 - Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang:
Large-Scale Hierarchical Classification via Stochastic Perceptron. 619-625 - Xianglong Liu, Junfeng He, Bo Lang:
Reciprocal Hash Tables for Nearest Neighbor Search. 626-632 - Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu:
A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. 633-639 - Zhiwu Lu, Yuxin Peng:
Unified Constraint Propagation on Multi-View Data. 640-646 - Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu:
Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. 647-653 - Sridhar Mahadevan, Stephen Giguere, Nicholas Jacek:
Basis Adaptation for Sparse Nonlinear Reinforcement Learning. 654-660 - Mehdi Hafezi Manshadi, Daniel Gildea, James F. Allen:
Integrating Programming by Example and Natural Language Programming. 661-667 - Alberto Maran, Nicolas Maudet, Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable:
A Framework for Aggregating Influenced CP-Nets and its Resistance to Bribery. 668-674 - Parisa Mazrooei, Christopher Archibald, Michael Bowling:
Automating Collusion Detection in Sequential Games. 675-682 - Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier:
On the Value of Using Group Discounts under Price Competition. 683-689 - Reshef Meir, Yair Zick, Edith Elkind, Jeffrey S. Rosenschein:
Bounding the Cost of Stability in Games over Interaction Networks. 690-696 - Felipe Meneguzzi, Pankaj R. Telang, Munindar P. Singh:
A First-Order Formalization of Commitments and Goals for Planning. 697-703 - Deyu Meng, Zongben Xu, Lei Zhang, Ji Zhao:
A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries. 704-710 - Mitra Mohtarami, Man Lan, Chew Lim Tan:
From Semantic to Emotional Space in Probabilistic Sense Sentiment Analysis. 711-717 - Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe:
Analyzing the Effectiveness of Adversary Modeling in Security Games. 718-724 - Mathias Niepert:
Symmetry-Aware Marginal Density Estimation. 725-731 - Raz Nissim, Ronen I. Brafman:
Cost-Optimal Planning by Self-Interested Agents. 732-738 - Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt:
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. 739-745 - Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau:
Mixed Observability Predictive State Representations. 746-752 - Aditya Pal, Nilesh N. Dalvi, Kedar Bellare:
Discovering Hierarchical Structure for Sources and Entities. 753-759 - Yan Pan, Hanjiang Lai, Cong Liu, Yong Tang, Shuicheng Yan:
Rank Aggregation via Low-Rank and Structured-Sparse Decomposition. 760-766 - David C. Parkes, Ariel D. Procaccia:
Dynamic Social Choice with Evolving Preferences. 767-773 - Jason Pazis, Ronald Parr:
PAC Optimal Exploration in Continuous Space Markov Decision Processes. 774-781 - Jason Pazis, Ronald Parr:
Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming. 782-788 - Noam Peled, Ya'akov (Kobi) Gal, Sarit Kraus:
An Agent Design for Repeated Negotiation and Information Revelation with People. 789-795 - Houwen Peng, Bing Li, Rongrong Ji, Weiming Hu, Weihua Xiong, Congyan Lang:
Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition. 796-802 - Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable:
Bribery in Voting With Soft Constraints. 803-809 - Denis K. Ponomaryov, Mikhail Soutchanski:
Progression of Decomposed Situation Calculus Theories. 810-817 - Alessandro Previti, João Marques-Silva:
Partial MUS Enumeration. 818-825 - Scott Proper, Kagan Tumer:
Multiagent Learning with a Noisy Global Reward Signal. 826-832 - Goran Radanovic, Boi Faltings:
A Robust Bayesian Truth Serum for Non-Binary Signals. 833-839 - Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. 840-846 - Igor Rochlin, David Sarne:
Information Sharing Under Costly Communication in Joint Exploration. 847-853 - Pierre Roy, François Pachet:
Enforcing Meter in Finite-Length Markov Sequences. 854-861 - Paul Ruvolo, Eric Eaton:
Active Task Selection for Lifelong Machine Learning. 862-868 - Yoshikuni Sato, Makoto Miwa, Shogo Takeuchi, Daisuke Takahashi:
Optimizing Objective Function Parameters for Strength in Computer Game-Playing. 869-875 - Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Mixed Heuristic Local Search for Protein Structure Prediction. 876-882 - Shirin Sohrabi, Octavian Udrea, Anton Riabov:
Hypothesis Exploration for Malware Detection Using Planning. 883-889 - Michael Thielscher:
Filtering With Logic Programs and Its Application to General Game Playing. 890-896 - Deepak Venugopal, Vibhav Gogate:
GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models. 897-904 - Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore:
Guiding Scientific Discovery with Explanations Using DEMUD. 905-911 - Chang Wang, Sridhar Mahadevan:
Multiscale Manifold Learning. 912-918 - Mengqiu Wang, Wanxiang Che, Christopher D. Manning:
Effective Bilingual Constraints for Semi-Supervised Learning of Named Entity Recognizers. 919-925 - Yingze Wang, Guang Xiang, Shi-Kuo Chang:
Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network. 926-932 - Yujing Wang, Yunhai Tong, Ming Zeng:
Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information. 933-939 - L. Darrell Whitley, Adele E. Howe, Doug Hains:
Greedy or Not? Best Improving versus First Improving Stochastic Local Search for MAXSAT. 940-946 - Thomas Emrys Williams, Rehj Cantrell, Gordon Briggs, Paul W. Schermerhorn, Matthias Scheutz:
Grounding Natural Language References to Unvisited and Hypothetical Locations. 947-953 - Christopher Makoto Wilt, Wheeler Ruml:
Robust Bidirectional Search via Heuristic Improvement. 954-961 - Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang, Yueting Zhuang:
Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint. 962-968 - Han Xiao, Claudia Eckert:
Lazy Gaussian Process Committee for Real-Time Online Regression. 969-976 - Deyi Xiong, Min Zhang:
A Topic-Based Coherence Model for Statistical Machine Translation. 977-983 - Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei:
Towards Cohesive Anomaly Mining. 984-990 - Joseph Zhen Ying Xu, John E. Laird:
Learning Integrated Symbolic and Continuous Action Models for Continuous Domains. 991-997 - Miao Xu, Yufeng Li, Zhi-Hua Zhou:
Multi-Label Learning with PRO Loss. 998-1004 - Fusun Yaman, Brett Benyo, Alice M. Mulvehill:
Temporal Milestones in HTNs. 1005-1011 - Haopeng Zhang, Tarek El-Gaaly, Ahmed M. Elgammal, Zhiguo Jiang:
Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis. 1012-1019 - Haoqi Zhang, Eric Horvitz, David C. Parkes:
Automated Workflow Synthesis. 1020-1026 - Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang:
A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. 1027-1033 - Xianchao Zhang, Xiaotong Zhang:
Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering. 1034-1040 - Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. 1041-1047 - Jiangchuan Zheng, Lionel M. Ni:
Time-Dependent Trajectory Regression on Road Networks via Multi-Task Learning. 1048-1055 - Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson:
Clustering with Complex Constraints - Algorithms and Applications. 1056-1062 - Sheng-hua Zhong, Yan Liu, Feifei Ren, Jinghuan Zhang, Tongwei Ren:
Video Saliency Detection via Dynamic Consistent Spatio-Temporal Attention Modelling. 1063-1069 - Yueting Zhuang, Yanfei Wang, Fei Wu, Yin Zhang, Weiming Lu:
Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval. 1070-1076 - Hankz Hankui Zhuo, Tuan Anh Nguyen, Subbarao Kambhampati:
Model-Lite Case-Based Planning. 1077-1083
Artificial Intelligence and the Web Special Track
- Rajesh Hemant Chitnis, Fedor V. Fomin, Petr A. Golovach:
Preventing Unraveling in Social Networks Gets Harder. 1085-1091 - Gerard de Melo:
Not Quite the Same: Identity Constraints for the Web of Linked Data. 1092-1098 - Alejandro Figueroa, Guenter Neumann:
Learning to Rank Effective Paraphrases from Query Logs for Community Question Answering. 1099-1105 - Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Takeshi Mishima, Makoto Onizuka:
Fast and Exact Top-k Algorithm for PageRank. 1106-1112 - Yu-Gang Jiang, Yanran Wang, Rui Feng, Xiangyang Xue, Yingbin Zheng, Hanfang Yang:
Understanding and Predicting Interestingness of Videos. 1113-1119 - Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
Clustering Crowds. 1120-1127 - Jeon-Hyung Kang, Kristina Lerman:
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. 1128-1134 - Pushmeet Kohli, Mahyar Salek, Greg Stoddard:
A Fast Bandit Algorithm for Recommendation to Users With Heterogenous Tastes. 1135-1141 - Andrew Mao, Ariel D. Procaccia, Yiling Chen:
Better Human Computation Through Principled Voting. 1142-1148 - Jimmy S. J. Ren, Wei Wang, Jiawei Wang, Stephen S. Y. Liao:
Exploring the Contribution of Unlabeled Data in Financial Sentiment Analysis. 1149-1155 - Mahyar Salek, Yoram Bachrach, Peter B. Key:
Hotspotting - A Probabilistic Graphical Model For Image Object Localization Through Crowdsourcing. 1156-1162 - Mehdi Samadi, Manuela M. Veloso, Manuel Blum:
OpenEval: Web Information Query Evaluation. 1163-1169 - Hiroaki Shiokawa, Yasuhiro Fujiwara, Makoto Onizuka:
Fast Algorithm for Modularity-Based Graph Clustering. 1170-1176 - Giorgio Stefanoni, Boris Motik, Ian Horrocks:
Introducing Nominals to the Combined Query Answering Approaches for EL. 1177-1183 - Roni Tzvi Stern, Liron Samama, Rami Puzis, Tal Beja, Zahy Bnaya, Ariel Felner:
TONIC: Target Oriented Network Intelligence Collection for the Social Web. 1184-1190 - Ming Yin, Yiling Chen, Yuan Sun:
The Effects of Performance-Contingent Financial Incentives in Online Labor Markets. 1191-1197 - Xiaohua Zhai, Yuxin Peng, Jianguo Xiao:
Heterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval. 1198-1204 - Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang:
Active Transfer Learning for Cross-System Recommendation. 1205-1211
Cognitive Systems Special Track
- Gordon Michael Briggs, Matthias Scheutz:
A Hybrid Architectural Approach to Understanding and Appropriately Generating Indirect Speech Acts. 1213-1219 - Nuno Ferreira, Samuel Mascarenhas, Ana Paiva, Gennaro di Tosto, Frank Dignum, John McBreen, Nick Degens, Gert Jan Hofstede, Giulia Andrighetto, Rosaria Conte:
An Agent Model for the Appraisal of Normative Events Based in In-Group and Out-Group Relations. 1220-1226 - Kevin Gold:
Learning to Efficiently Pursue Communication Goals on the Web with the GOSMR Architecture. 1227-1233 - Justin Li, John E. Laird:
Preemptive Strategies for Overcoming the Forgetting of Goals. 1234-1240 - Ian Perera, James F. Allen:
SALL-E: Situated Agent for Language Learning. 1241-1247 - Abhishek B. Sharma, Kenneth D. Forbus:
Automatic Extraction of Efficient Axiom Sets from Large Knowledge Bases. 1248-1254 - Abhishek B. Sharma, Kenneth D. Forbus:
Graph Traversal Methods for Reasoning in Large Knowledge-Based Systems. 1255-1261
Computational Sustainability and AI Special Track
- Charilaos Akasiadis, Georgios Chalkiadakis:
Agent Cooperatives for Effective Power Consumption Shifting. 1263-1269 - Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley:
PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. 1270-1276 - James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar:
Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application. 1277-1283 - Daniel Fink, Theodoros Damoulas, Jaimin Dave:
Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data. 1284-1290 - Vikas K. Garg, T. S. Jayram, Balakrishnan Narayanaswamy:
Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems. 1291-1297 - Wolfgang Ketter, Markus Peters, John Collins:
Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition. 1298-1304 - Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery:
Robust Network Design For Multispecies Conservation. 1305-1312 - Prashant P. Reddy, Manuela M. Veloso:
Negotiated Learning for Smart Grid Agents: Entity Selection based on Dynamic Partially Observable Features. 1313-1319 - Régis Sabbadin, Anne-France Viet:
A Tractable Leader-Follower MDP Model for Animal Disease Management. 1320-1326 - Huijuan Shao, Manish Marwah, Naren Ramakrishnan:
A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings. 1327-1333 - Daniel Sheldon, Andrew Farnsworth, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling:
Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar. 1334-1340 - Sabine Storandt, Stefan Funke:
Enabling E-Mobility: Facility Location for Battery Loading Stations. 1341-1347 - Alexander David Styler, Illah Reza Nourbakhsh:
Model Predictive Control with Uncertainty in Human Driven Systems. 1348-1354 - Alan Tsang, Kate Larson, Rob McAlpine:
Resource Sharing for Control of Wildland Fires. 1355-1361 - Andreas Veit, Ying Xu, Ronghuo Zheng, Nilanjan Chakraborty, Katia P. Sycara:
Multiagent Coordination for Energy Consumption Scheduling in Consumer Cooperatives. 1362-1368 - 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:
Large Landscape Conservation - Synthetic and Real-World Datasets. 1369-1372
Robotics Special Track
- Danilo Bruno, Sylvain Calinon, Darwin G. Caldwell:
Bayesian Nonparametric Multi-Optima Policy Search in Reinforcement Learning. 1374-1380 - Caroline Ponzoni Carvalho Chanel, Florent Teichteil-Königsbuch, Charles Lesire:
Multi-Target Detection and Recognition by UAVs Using Online POMDPs. 1381-1387 - Lawrence H. Erickson, Steven M. LaValle:
A Simple, but NP-Hard, Motion Planning Problem. 1388-1393 - Been Kim, Caleb M. Chacha, Julie A. Shah:
Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior. 1394-1400 - Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann:
Data-Efficient Generalization of Robot Skills with Contextual Policy Search. 1401-1407 - João Vicente Messias, Matthijs T. J. Spaan, Pedro U. Lima:
GSMDPs for Multi-Robot Sequential Decision-Making. 1408-1414 - Erion Plaku:
Robot Motion Planning with Dynamics as Hybrid Search. 1415-1421 - Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell, Pablo Jiménez, Carme Torras:
Learning Collaborative Impedance-Based Robot Behaviors. 1422-1428 - Michael Ruhnke, Liefeng Bo, Dieter Fox, Wolfram Burgard:
Compact RGBD Surface Models Based on Sparse Coding. 1429-1435 - Ari Weinstein, Michael L. Littman:
Open-Loop Planning in Large-Scale Stochastic Domains. 1436-1442 - Jingjin Yu, Steven M. LaValle:
Structure and Intractability of Optimal Multi-Robot Path Planning on Graphs. 1443-1449
Pre-PhD Student Abstracts
- Amos Azaria, Sarit Kraus:
Advice Provision in Multiple Prospect Selection Problems. 1605-1606 - Mingzhi Dong, Liang Yin:
A Maximum K-Min Approach for Classification. 1607-1608 - Robert Kyle Eichelberger, Victor S. Sheng:
Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications? 1609-1610 - Daniel J. Geschwender, Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry, Stephen D. Scott:
Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning Classifiers. 1611-1612 - Keisuke Hara, Takayuki Ito:
A Mediation Mechanism for Automated Negotiating Agents Whose Utility Changes over Time. 1613-1614 - Mohammad Rashedul Hasan, Anita Raja:
The Role of Complex Network Dynamics in the Emergence of Multiagent Coalition. 1615-1616 - Soumya C. Kambhampati, Thomas Liu:
Phase Transition and Network Structure in Realistic SAT Problems. 1619-1620 - Irene Kwok, Yuzhou Wang:
Locate the Hate: Detecting Tweets against Blacks. 1621-1622 - Zhichun Jia, Rong Chen:
Hybrid Model-Based Diagnosis of Web Service Compositions. 1617-1618 - Walter Stephen Lasecki, Leon Weingard, Jeffrey Philip Bigham, George Ferguson:
Crowd Formalization of Action Conditions. 1623-1624 - William Lee, Ramon Lawrence:
Trading Space for Time in Grid-Based Path Finding. 1625-1626 - Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding:
Online Group Feature Selection from Feature Streams. 1627-1628 - Hongbo Li, Yanchun Liang, Jinsong Guo, Zhanshan Li:
Making Simple Tabular ReductionWorks on Negative Table Constraints. 1629-1630 - Xiaomei Li, Xindong Wu, Gong-Qing Wu, Xuegang Hu:
Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. 1631-1632 - Guohua Liang, Anthony G. Cohn:
An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging. 1633-1634 - Hui Meen Nyew, Nilufer Onder, Soner Önder, Zhenlin Wang:
A First-Order Logic Based Framework for Verifying Simulations. 1635-1636 - Daniel R. Schlegel, Stuart C. Shapiro:
Concurrent Reasoning with Inference Graphs. 1637-1638 - Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Simplified Lattice Models for Protein Structure Prediction: How Good Are They? 1639-1640 - Zhao Song, Yuke Zhu:
Graphical Model-Based Learning in High Dimensional Feature Spaces. 1641-1642 - Lauren M. Stuart:
On a Noun-Driven Syntactic Paradigm. 1643-1644 - Clifford A. Tawiah, Victor S. Sheng:
Empirical Comparison of Multi-Label Classification Algorithms. 1645-1646 - Ding Tu, Ling Chen, Gencai Chen:
WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus. 1647-1648 - Xiao Yang, Zhaoxin Zhang, Qiang Wang:
Personalized Recommendation Based on Co-Ranking and Query-Based Collaborative Diffusion. 1649-1650 - Jing Zhang, Xindong Wu, Victor Shengli Sheng:
Imbalanced Multiple Noisy Labeling for Supervised Learning. 1651-1652 - Lei Zhang, Chong-Jun Wang, Jun Wu, Meilin Liu, Jun-Yuan Xie:
Planning with Multi-Valued Landmarks. 1653-1654
AAAI-SIGART Doctoral Consortium
- Daniel Bauer:
Understanding Descriptions of Visual Scenes Using Graph Grammars. 1656-1657 - Sviatlana Danilava:
Artificial Conversational Companions. 1658-1659 - Gary Doran:
Distribution Kernel Methods for Multiple-Instance Learning. 1660-1661 - Johannes Klaus Fichte:
Backdoors to Tractability of Answer-Set Programming. 1662-1663 - Shekhar Gupta:
An Optimal Task Assignment Policy and Performance Diagnosis Strategy for Heterogeneous Hadoop Cluster. 1664-1665 - Brent Edward Harrison:
Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics. 1666-1667 - Matthew Hatem:
Heuristic Search for Large Problems with Real Costs. 1668-1669 - Walter Stephen Lasecki:
Crowdsourcing for Deployable Intelligent Systems. 1670-1671 - Alessandro Panella:
Multiagent Stochastic Planning With Bayesian Policy Recognition. 1672-1673 - Anastasia Paparrizou:
Efficient Algorithms for Strong Local Consistencies in Constraint Satisfaction Problems. 1674-1675 - Adrian Ratter:
Optimization of Heterogeneous Computing Resources for Robotic Mapping. 1676-1677 - Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan:
The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions? - Daniel R. Schlegel:
Concurrent Inference Graphs. 1680-1681 - Timothy Wiley:
Multi-Strategy Learning of Robotic Behaviours via Qualitative Reasoning. 1682-1683 - Christopher Makoto Wilt:
Steps Towards a Science of Heuristic Search. 1684-1685 - Ying Zhu:
Tools for Preference Reasoning. 1686-1687
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