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29th AAAI 2015: Austin, Texas, USA
- Blai Bonet, Sven Koenig:
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. AAAI Press 2015, ISBN 978-1-57735-698-1
AI and the Web
- Takuya Akiba, Takanori Hayashi, Nozomi Nori, Yoichi Iwata, Yuichi Yoshida:
Efficient Top-k Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling. 2-8 - Mustafa Al-Bakri, Manuel Atencia, Steffen Lalande, Marie-Christine Rousset:
Inferring Same-As Facts from Linked Data: An Iterative Import-by-Query Approach. 9-15 - Jun Chen, Chaokun Wang, Jianmin Wang:
A Personalized Interest-Forgetting Markov Model for Recommendations. 16-22 - Jun Chen, Chaokun Wang, Jianmin Wang:
Will You "Reconsume" the Near Past? Fast Prediction on Short-Term Reconsumption Behaviors. 23-29 - Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan, Dongyuan Lu:
VELDA: Relating an Image Tweet's Text and Images. 30-36 - Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai:
On Information Coverage for Location Category Based Point-of-Interest Recommendation. 37-43 - Yan-Ying Chen, Yin-Hsi Kuo, Chun-Che Wu, Winston H. Hsu:
Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data. 44-50 - Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang:
A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP. 51-57 - Sara Cohen, Aviv Zohar:
An Axiomatic Approach to Link Prediction. 58-64 - Peng Cui, Tianyang Zhang, Fei Wang, Peng He:
Perceiving Group Themes from Collective Social and Behavioral Information. 65-71 - Aron Culotta, Nirmal Ravi Kumar, Jennifer Cutler:
Predicting the Demographics of Twitter Users from Website Traffic Data. 72-78 - Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing:
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. 79-87 - Jiwei Ding, Wentao Ding, Wei Hu, Yuzhong Qu:
An EBMC-Based Approach to Selecting Types for Entity Filtering. 88-94 - Valeria Fionda, Gianluigi Greco:
Trust Models for RDF Data: Semantics and Complexity. 95-101 - Valeria Fionda, Giuseppe Pirrò, Mariano P. Consens:
Extended Property Paths: Writing More SPARQL Queries in a Succinct Way. 102-108 - Birte Glimm, Yevgeny Kazakov, Ilianna Kollia, Giorgos B. Stamou:
Lower and Upper Bounds for SPARQL Queries over OWL Ontologies. 109-115 - Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth:
FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering. 116-122 - Guibing Guo, Jie Zhang, Neil Yorke-Smith:
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. 123-129 - Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang:
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks. 130-136 - Xian-Sheng Hua, Jin Li:
Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling. 137-144 - Mans Hulden, Miikka Silfverberg, Jerid Francom:
Kernel Density Estimation for Text-Based Geolocation. 145-150 - Cheng Jin, Wenhui Mao, Ruiqi Zhang, Yuejie Zhang, Xiangyang Xue:
Cross-Modal Image Clustering via Canonical Correlation Analysis. 151-159 - Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang:
Modeling with Node Degree Preservation Can Accurately Find Communities. 160-167 - Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park:
Estimating Temporal Dynamics of Human Emotions. 168-174 - Patrick Koopmann, Renate A. Schmidt:
Uniform Interpolation and Forgetting for ALC Ontologies with ABoxes. 175-181 - Virgile Landeiro Dos Reis, Aron Culotta:
Using Matched Samples to Estimate the Effects of Exercise on Mental Health via Twitter. 182-188 - Freddy Lécué, Jeff Z. Pan:
Consistent Knowledge Discovery from Evolving Ontologies. 189-195 - He Liu, Hongliang Yu, Zhi-Hong Deng:
Multi-Document Summarization Based on Two-Level Sparse Representation Model. 196-202 - Qiang Liu, Shu Wu, Liang Wang:
COT: Contextual Operating Tensor for Context-Aware Recommender Systems. 203-209 - Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang:
Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network. 210-216 - Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang:
Content-Based Collaborative Filtering for News Topic Recommendation. 217-223 - Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong:
A Tri-Role Topic Model for Domain-Specific Question Answering. 224-230 - Boris Motik, Yavor Nenov, Robert Edgar Felix Piro, Ian Horrocks:
Handling Owl: sameAs via Rewriting. 231-237 - Stephen Mussmann, John Moore, Joseph John Pfeiffer III, Jennifer Neville:
Incorporating Assortativity and Degree Dependence into Scalable Network Models. 238-246 - Peter F. Patel-Schneider:
Using Description Logics for RDF Constraint Checking and Closed-World Recognition. 247-253 - Guilin Qi, Zhe Wang, Kewen Wang, Xuefeng Fu, Zhiqiang Zhuang:
Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice. 254-260 - Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu:
Leveraging Social Foci for Information Seeking in Social Media. 261-267 - Marie-Christine Rousset, Federico Ulliana:
Extracting Bounded-Level Modules from Deductive RDF Triplestores. 268-274 - Yikang Shen, Wenge Rong, Zhiwei Sun, Yuanxin Ouyang, Zhang Xiong:
Question/Answer Matching for CQA System via Combining Lexical and Sequential Information. 275-281 - Sigal Sina, Avi Rosenfeld, Sarit Kraus, Navot Akiva:
A Hybrid Approach of Classifier and Clustering for Solving the Missing Node Problem. 282-289 - Dongjin Song, David A. Meyer:
Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC. 290-296 - Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang:
Causal Inference via Sparse Additive Models with Application to Online Advertising. 297-303 - Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong Su:
Sampling Representative Users from Large Social Networks. 304-310 - Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya:
Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence. 311-317 - Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li:
Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets. 318-324 - Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li:
Burst Time Prediction in Cascades. 325-331 - Xiangyu Wang, Dayu He, Danyang Chen, Jinhui Xu:
Clustering-Based Collaborative Filtering for Link Prediction. 332-338 - Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Mining Query Subtopics from Questions in Community Question Answering. 339-345 - Miao Xie, Qiusong Yang, Qing Wang, Gao Cong, Gerard de Melo:
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization. 346-352 - Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
A Probabilistic Model for Bursty Topic Discovery in Microblogs. 353-359 - Bo Yang, Xuehua Zhao:
On the Scalable Learning of Stochastic Blockmodel. 360-366 - Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang:
RAIN: Social Role-Aware Information Diffusion. 367-373 - Weilong Yao, Jing He, Hua Wang, Yanchun Zhang, Jie Cao:
Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction. 374-380 - Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang:
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks. 381-388 - Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu:
Are Features Equally Representative? A Feature-Centric Recommendation. 389-395 - Hongyi Zhang, Irwin King, Michael R. Lyu:
Incorporating Implicit Link Preference Into Overlapping Community Detection. 396-402 - Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang:
Retweet Behavior Prediction Using Hierarchical Dirichlet Process. 403-409 - Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua:
Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval. 410-416 - Xinjie Zhou, Xiaojun Wan, Jianguo Xiao:
Representation Learning for Aspect Category Detection in Online Reviews. 417-424
Applications
- Virginia Ortiz Andersson, Ricardo Matsumura de Araújo:
Person Identification Using Anthropometric and Gait Data from Kinect Sensor. 425-431 - Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie:
R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. 432-438 - Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai:
Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. 439-445 - Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng:
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. 446-453 - Fei Mi, Dit-Yan Yeung:
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs. 454-460 - Piotr Lech Szczepanski, Mateusz Krzysztof Tarkowski, Tomasz Pawel Michalak, Paul Harrenstein, Michael J. Wooldridge:
Efficient Computation of Semivalues for Game-Theoretic Network Centrality. 461-469 - Suhang Wang, Jiliang Tang, Huan Liu:
Embedded Unsupervised Feature Selection. 470-476 - Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Learning User-Specific Latent Influence and Susceptibility from Information Cascades. 477-484
Cognitive Modeling
- David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann:
Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks. 485-491 - Josefina Sierra-Santibáñez:
An Agent-Based Model of the Emergence and Transmission of a Language System for the Expression of Logical Combinations. 492-500
Cognitive Systems
- Joseph A. Blass, Kenneth D. Forbus:
Moral Decision-Making by Analogy: Generalizations versus Exemplars. 501-507 - Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria:
AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. 508-514 - Alfredo Gabaldon, Pat Langley:
Dialogue Understanding in a Logic of Action and Belief. 515-521 - JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. 522-528 - Jesse Hoey, Tobias Schröder:
Bayesian Affect Control Theory of Self. 529-536 - Pat Langley, Adam Arvay:
Heuristic Induction of Rate-Based Process Models. 537-543 - Justin Li, John E. Laird:
Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture. 544-550 - Chen Liang, Kenneth D. Forbus:
Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression. 551-557 - Peter Lindes, Deryle W. Lonsdale, David W. Embley:
Ontology-Based Information Extraction with a Cognitive Agent. 558-564 - Matthew D. McLure, Scott E. Friedman, Kenneth D. Forbus:
Extending Analogical Generalization with Near-Misses. 565-571 - Marjorie McShane, Petr Babkin:
Automatic Ellipsis Resolution: Recovering Covert Information from Text. 572-578 - Daniel R. Schlegel, Stuart C. Shapiro:
Inference Graphs: Combining Natural Deduction and Subsumption Inference in a Concurrent Reasoner. 579-585 - Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang, Haizhou Li:
An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building. 586-592 - Keyang Zhang, Kenny Q. Zhu, Seung-won Hwang:
An Association Network for Computing Semantic Relatedness. 593-600
Computational Sustainability and AI
- Saima Aman, Charalampos Chelmis, Viktor K. Prasanna:
Influence-Driven Model for Time Series Prediction from Partial Observations. 601-607 - Filippo Bistaffa, Alessandro Farinelli, Sarvapali D. Ramchurn:
Sharing Rides with Friends: A Coalition Formation Algorithm for Ridesharing. 608-614 - Frits de Nijs, Matthijs T. J. Spaan, Mathijs de Weerdt:
Best-Response Planning of Thermostatically Controlled Loads under Power Constraints. 615-621 - John P. Dickerson, Tuomas Sandholm:
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments. 622-628 - Ehsan Elhamifar, Shankar Sastry:
Energy Disaggregation via Learning Powerlets and Sparse Coding. 629-635 - Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla P. Gomes, Bart Selman, Robert Bruce van Dover:
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery. 636-643 - Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes:
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. 644-650 - Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
A Nonparametric Online Model for Air Quality Prediction. 651-657 - Hassan L. Hijazi, Terrence W. K. Mak, Pascal Van Hentenryck:
Power System Restoration With Transient Stability. 658-664 - Micha Kahlen, Wolfgang Ketter:
Aggregating Electric Cars to Sustainable Virtual Power Plants: The Value of Flexibility in Future Electricity Markets. 665-671 - Liangda Li, Hongyuan Zha:
Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process. 672-678 - BoonPing Lim, Menkes van den Briel, Sylvie Thiébaux, Scott Backhaus, Russell Bent:
HVAC-Aware Occupancy Scheduling. 679-686 - Eoin O'Mahony, David B. Shmoys:
Data Analysis and Optimization for (Citi)Bike Sharing. 687-694 - Athanasios Aris Panagopoulos, Georgios Chalkiadakis, Nicholas Robert Jennings:
Towards Optimal Solar Tracking: A Dynamic Programming Approach. 695-701 - Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau:
Risk Based Optimization for Improving Emergency Medical Systems. 702-708 - Hermann Schichl, Meinolf Sellmann:
Predisaster Preparation of Transportation Networks. 709-715 - Bochao Shen, Balakrishnan Narayanaswamy, Ravi Sundaram:
SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers. 716-722 - Adish Singla, Marco Santoni, Gábor Bartók, Pratik Mukerji, Moritz Meenen, Andreas Krause:
Incentivizing Users for Balancing Bike Sharing Systems. 723-729 - Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie:
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. 730-736 - Alexander David Styler, Illah Reza Nourbakhsh:
Real-Time Predictive Optimization for Energy Management in a Hybrid Electric Vehicle. 737-744
Game Playing and Interactive Entertainment
- Umair Z. Ahmed, Krishnendu Chatterjee, Sumit Gulwani:
Automatic Generation of Alternative Starting Positions for Simple Traditional Board Games. 745-752 - Quentin Galvane, Rémi Ronfard, Christophe Lino, Marc Christie:
Continuity Editing for 3D Animation. 753-762
Game Theory and Economic Paradigms
- Michael Albert, Vincent Conitzer, Giuseppe Lopomo:
Assessing the Robustness of Cremer-McLean with Automated Mechanism Design. 763-769 - Kareem Amin, Rachel Cummings, Lili Dworkin, Michael J. Kearns, Aaron Roth:
Online Learning and Profit Maximization from Revealed Preferences. 770-776 - Elliot Anshelevich, Onkar Bhardwaj, John Postl:
Approximating Optimal Social Choice under Metric Preferences. 777-783 - Haris Aziz, Markus Brill, Vincent Conitzer, Edith Elkind, Rupert Freeman, Toby Walsh:
Justified Representation in Approval-Based Committee Voting. 784-790 - Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha:
Audit Games with Multiple Defender Resources. 791-797 - Avrim Blum, Yishay Mansour, Jamie Morgenstern:
Learning Valuation Distributions from Partial Observation. 798-804 - Branislav Bosanský, Jiri Cermak:
Sequence-Form Algorithm for Computing Stackelberg Equilibria in Extensive-Form Games. 805-811 - Branislav Bosanský, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld:
Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies. 812-818 - Markus Brill, Vincent Conitzer:
Strategic Voting and Strategic Candidacy. 819-826 - Benedikt Bünz, Sven Seuken, Benjamin Lubin:
A Faster Core Constraint Generation Algorithm for Combinatorial Auctions. 827-834 - Mithun Chakraborty, Sanmay Das, Justin Peabody:
Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker. 835-841 - Hau Chan, Luis E. Ortiz:
Computing Nash Equilibrium in Interdependent Defense Games. 842-850 - Yiling Chen, Kobbi Nissim, Bo Waggoner:
Fair Information Sharing for Treasure Hunting. 851-857 - John A. Doucette, Kate Larson, Robin Cohen:
Conventional Machine Learning for Social Choice. 858-864 - Edith Elkind, Piotr Faliszewski, Martin Lackner, Svetlana Obraztsova:
The Complexity of Recognizing Incomplete Single-Crossing Preferences. 865-871 - Uriel Feige, Michal Feldman, Nicole Immorlica, Rani Izsak, Brendan Lucier, Vasilis Syrgkanis:
A Unifying Hierarchy of Valuations with Complements and Substitutes. 872-878 - Michal Feldman, Ofir Geri:
Do Capacity Constraints Constrain Coalitions? 879-885 - Diodato Ferraioli, Carmine Ventre, Gabor Aranyi:
A Mechanism Design Approach to Measure Awareness. 886-892 - Aris Filos-Ratsikas, Minming Li, Jie Zhang, Qiang Zhang:
Facility Location with Double-Peaked Preferences. 893-899 - Rafael M. Frongillo, Yiling Chen, Ian A. Kash:
Elicitation for Aggregation. 900-906 - Etsushi Fujita, Julien Lesca, Akihisa Sonoda, Taiki Todo, Makoto Yokoo:
A Complexity Approach for Core-Selecting Exchange with Multiple Indivisible Goods under Lexicographic Preferences. 907-913 - Jiarui Gan, Bo An, Yevgeniy Vorobeychik:
Security Games with Protection Externalities. 914-920 - Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne:
Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism. 921-928 - Martin Hoefer, Daniel Vaz, Lisa Wagner:
Hedonic Coalition Formation in Networks. 929-935