Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic Scholar27. 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- AAAI Organization.
- Conference Committees.
- Awards.
- Sponsors.
- Invited Talks.
Main Technical Papers
- Abhijin Adiga, Chris J. Kuhlman, Henning S. Mortveit, Anil Kumar S. Vullikanti:
Sensitivity of Diffusion Dynamics to Network Uncertainty. - Aaron Adler, Fusun Yaman, Jacob Beal, Jeffrey Cleveland, Hala Mostafa, Annan Mozeika:
A Morphogenetically Assisted Design Variation Tool. - Sandip Aine, Maxim Likhachev:
Truncated Incremental Search: Faster Replanning by Exploiting Suboptimality. - Muddasser Alam, Alex Rogers, Sarvapali D. Ramchurn:
Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities. - 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. - Hadi Amiri, Zheng-Jun Zha, Tat-Seng Chua:
A Pattern Matching Based Model for Implicit Opinion Question Identification. - Elliot Anshelevich, Meenal Chhabra, Sanmay Das, Matthew Gerrior:
On the Social Welfare of Mechanisms for Repeated Batch Matching. - Haris Aziz, Serge Gaspers, Nicholas Mattei, Nina Narodytska, Toby Walsh:
Ties Matter: Complexity of Manipulation when Tie-Breaking with a Random Vote. - Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam:
Optimal Coalition Structure Generation in Cooperative Graph Games. - Bikramjit Banerjee:
Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs. - Samuel Barrett, Peter Stone, Sarit Kraus, Avi Rosenfeld:
Teamwork with Limited Knowledge of Teammates. - Moshe Bitan, Ya'akov Gal, Sarit Kraus, Elad Dokow, Amos Azaria:
Social Rankings in Human-Computer Committees. - Ronen I. Brafman, Guy Shani, Shlomo Zilberstein:
Qualitative Planning under Partial Observability in Multi-Agent Domains. - Simina Brânzei, Ioannis Caragiannis, Jamie Morgenstern, Ariel D. Procaccia:
How Bad Is Selfish Voting? - Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail, Yonatan Naamad:
Instructor Rating Markets. - Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen:
Goal-Oriented Euclidean Heuristics with Manifold Learning. - Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua:
From Interest to Function: Location Estimation in Social Media. - Puja Das, Nicholas Johnson, Arindam Banerjee:
Online Lazy Updates for Portfolio Selection with Transaction Costs. - Sammy Davis-Mendelow, Jorge A. Baier, Sheila A. McIlraith:
Assumption-Based Planning: Generating Plans and Explanations under Incomplete Knowledge. - Cassio Polpo de Campos, Fábio Gagliardi Cozman:
Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks. - Wenkui Ding, Tao Qin, Xu-Dong Zhang, Tie-Yan Liu:
Multi-Armed Bandit with Budget Constraint and Variable Costs. - Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu:
The Automated Acquisition of Suggestions from Tweets. - Mingzhi Dong, Liang Yin, Weihong Deng, Li Shang, Jun Guo, Honggang Zhang:
A Maximum K-Min Approach for Classification. - Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli:
HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. - Thomas Eiter, Michael Fink, Thomas Krennwallner, Christoph Redl:
Liberal Safety for Answer Set Programs with External Sources. - Gábor Erdélyi, Martin Lackner, Andreas Pfandler:
Computational Aspects of Nearly Single-Peaked Electorates. - Esra Erdem, Doga Gizem Kisa, Umut Öztok, Peter Schüller:
A General Formal Framework for Pathfinding Problems with Multiple Agents. - Wolfgang Faber, Miroslaw Truszczynski, Stefan Woltran:
Abstract Preference Frameworks - a Unifying Perspective on Separability and Strong Equivalence. - Uriel Feige, Gil Kalai, Moshe Tennenholtz:
The Cascade Auction - A Mechanism for Deterring Collusion in Auctions. - 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. - Nicola Gatti, Fabio Panozzo, Marcello Restelli:
Efficient Evolutionary Dynamics with Extensive-Form Games. - Nicola Gatti, Marco Rocco, Tuomas Sandholm:
Algorithms for Strong Nash Equilibrium with More than Two Agents. - Martin Gebser, Benjamin Kaufmann, Javier Romero, Ramón Otero, Torsten Schaub, Philipp Wanko:
Domain-Specific Heuristics in Answer Set Programming. - Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague:
Vesselness Features and the Inverse Compositional AAM for Robust Face Recognition Using Thermal IR. - Debarghya Ghoshdastidar, Ambedkar Dukkipati:
On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications. - Sean Gilpin, Siegfried Nijssen, Ian N. Davidson:
Formalizing Hierarchical Clustering as Integer Linear Programming. - Benjamin Nathan Grosof, Terrance Swift:
Radial Restraint: A Semantically Clean Approach to Bounded Rationality for Logic Programs. - Fabian Hadiji, Kristian Kersting:
Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP. - Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Supervised and Projected Sparse Coding for Image Classification. - Tomoharu Iwata, Tsutomu Hirao, Naonori Ueda:
Unsupervised Cluster Matching via Probabilistic Latent Variable Models. - Thomas Kalinowski, Nina Narodytska, Toby Walsh, Lirong Xia:
Strategic Behavior when Allocating Indivisible Goods Sequentially. - Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry:
Improving the Performance of Consistency Algorithms by Localizing and Bolstering Propagation in a Tree Decomposition. - Erez Karpas, Tomer Sagi, Carmel Domshlak, Avigdor Gal, Avi Mendelson, Moshe Tennenholtz:
Data-Parallel Computing Meets STRIPS. - George Katsirelos, Ashish Sabharwal, Horst Samulowitz, Laurent Simon:
Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers. - Aram Kawewong, Rapeeporn Pimup, Osamu Hasegawa:
Incremental Learning Framework for Indoor Scene Recognition. - Doo Soon Kim, Kunal Verma, Peter Z. Yeh:
Joint Extraction and Labeling via Graph Propagation for Dictionary Construction. - Suin Kim, Jianwen Zhang, Zheng Chen, Alice H. Oh, Shixia Liu:
A Hierarchical Aspect-Sentiment Model for Online Reviews. - Egor V. Kostylev, Juan L. Reutter:
Answering Counting Aggregate Queries over Ontologies of the DL-Lite Family. - Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama:
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. - Shay Kutten, Ron Lavi, Amitabh Trehan:
Composition Games for Distributed Systems: The EU Grant Games. - Christophe Lecoutre, Anastasia Paparrizou, Kostas Stergiou:
Extending STR to a Higher-Order Consistency. - Sanghack Lee, Vasant G. Honavar:
m-Transportability: Transportability of a Causal Effect from Multiple Environments. - Boyang Li, Stephen Lee-Urban, George Johnston, Mark Riedl:
Story Generation with Crowdsourced Plot Graphs. - Sebastian Link:
Reasoning about Saturated Conditional Independence Under Uncertainty: Axioms, Algorithms, and Levesque's Situations to the Rescue. - Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang:
Large-Scale Hierarchical Classification via Stochastic Perceptron. - Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu:
A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. - Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu:
Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. - Sridhar Mahadevan, Stephen Giguere, Nicholas Jacek:
Basis Adaptation for Sparse Nonlinear Reinforcement Learning. - Mehdi Hafezi Manshadi, Daniel Gildea, James F. Allen:
Integrating Programming by Example and Natural Language Programming. - Alberto Maran, Nicolas Maudet, Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable:
A Framework for Aggregating Influenced CP-Nets and its Resistance to Bribery. - Parisa Mazrooei, Christopher Archibald, Michael Bowling:
Automating Collusion Detection in Sequential Games. - Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier:
On the Value of Using Group Discounts under Price Competition. - Reshef Meir, Yair Zick, Edith Elkind, Jeffrey S. Rosenschein:
Bounding the Cost of Stability in Games over Interaction Networks. - Felipe Meneguzzi, Pankaj R. Telang, Munindar P. Singh:
A First-Order Formalization of Commitments and Goals for Planning. - Deyu Meng, Zongben Xu, Lei Zhang, Ji Zhao:
A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries. - Mitra Mohtarami, Man Lan, Chew Lim Tan:
From Semantic to Emotional Space in Probabilistic Sense Sentiment Analysis. - Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe:
Analyzing the Effectiveness of Adversary Modeling in Security Games. - Jan Noessner, Mathias Niepert, Heiner Stuckenschmidt:
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. - Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau:
Mixed Observability Predictive State Representations. - Aditya Pal, Nilesh N. Dalvi, Kedar Bellare:
Discovering Hierarchical Structure for Sources and Entities. - Yan Pan, Hanjiang Lai, Cong Liu, Yong Tang, Shuicheng Yan:
Rank Aggregation via Low-Rank and Structured-Sparse Decomposition. - Jason Pazis, Ronald Parr:
Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming. - Noam Peled, Ya'akov (Kobi) Gal, Sarit Kraus:
An Agent Design for Repeated Negotiation and Information Revelation with People. - Houwen Peng, Bing Li, Rongrong Ji, Weiming Hu, Weihua Xiong, Congyan Lang:
Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition. - Kosta Ristovski, Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. - Yoshikuni Sato, Makoto Miwa, Shogo Takeuchi, Daisuke Takahashi:
Optimizing Objective Function Parameters for Strength in Computer Game-Playing. - Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Mixed Heuristic Local Search for Protein Structure Prediction. - Shirin Sohrabi, Octavian Udrea, Anton Riabov:
Hypothesis Exploration for Malware Detection Using Planning. - Deepak Venugopal, Vibhav Gogate:
GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models. - Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore:
Guiding Scientific Discovery with Explanations Using DEMUD. - Mengqiu Wang, Wanxiang Che, Christopher D. Manning:
Effective Bilingual Constraints for Semi-Supervised Learning of Named Entity Recognizers. - Yingze Wang, Guang Xiang, Shi-Kuo Chang:
Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network. - Yujing Wang, Yunhai Tong, Ming Zeng:
Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information. - Darrell Whitley, Adele E. Howe, Doug Hains:
Greedy or Not? Best Improving versus First Improving Stochastic Local Search for MAXSAT. - Thomas Emrys Williams, Rehj Cantrell, Gordon Briggs, Paul W. Schermerhorn, Matthias Scheutz:
Grounding Natural Language References to Unvisited and Hypothetical Locations. - Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang, Yueting Zhuang:
Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint. - Joseph Zhen Ying Xu, John E. Laird:
Learning Integrated Symbolic and Continuous Action Models for Continuous Domains. - Haopeng Zhang, Tarek El-Gaaly, Ahmed M. Elgammal, Zhiguo Jiang:
Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis. - Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang:
A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. - Xianchao Zhang, Xiaotong Zhang:
Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering. - Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. - Jiangchuan Zheng, Lionel M. Ni:
Time-Dependent Trajectory Regression on Road Networks via Multi-Task Learning. - Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson:
Clustering with Complex Constraints - Algorithms and Applications. - Sheng-hua Zhong, Yan Liu, Feifei Ren, Jinghuan Zhang, Tongwei Ren:
Video Saliency Detection via Dynamic Consistent Spatio-Temporal Attention Modelling. - Yueting Zhuang, Yanfei Wang, Fei Wu, Yin Zhang, Weiming Lu:
Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval.
Artificial Intelligence and the Web Special Track
- Rajesh Hemant Chitnis, Fedor V. Fomin, Petr A. Golovach:
Preventing Unraveling in Social Networks Gets Harder. - Alejandro Figueroa, Guenter Neumann:
Learning to Rank Effective Paraphrases from Query Logs for Community Question Answering. - Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Takeshi Mishima, Makoto Onizuka:
Fast and Exact Top-k Algorithm for PageRank. - Yu-Gang Jiang, Yanran Wang, Rui Feng, Xiangyang Xue, Yingbin Zheng, Hanfang Yang:
Understanding and Predicting Interestingness of Videos. - Jeon-Hyung Kang, Kristina Lerman:
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. - Pushmeet Kohli, Mahyar Salek, Greg Stoddard:
A Fast Bandit Algorithm for Recommendation to Users With Heterogenous Tastes. - Jimmy S. J. Ren, Wei Wang, Jiawei Wang, Stephen S. Y. Liao:
Exploring the Contribution of Unlabeled Data in Financial Sentiment Analysis. - Mahyar Salek, Yoram Bachrach, Peter Key:
Hotspotting - A Probabilistic Graphical Model For Image Object Localization Through Crowdsourcing. - Hiroaki Shiokawa, Yasuhiro Fujiwara, Makoto Onizuka:
Fast Algorithm for Modularity-Based Graph Clustering. - Giorgio Stefanoni, Boris Motik, Ian Horrocks:
Introducing Nominals to the Combined Query Answering Approaches for EL. - Roni Tzvi Stern, Liron Samama, Rami Puzis, Tal Beja, Zahy Bnaya, Ariel Felner:
TONIC: Target Oriented Network Intelligence Collection for the Social Web. - Ming Yin, Yiling Chen, Yu-An Sun:
The Effects of Performance-Contingent Financial Incentives in Online Labor Markets. - Xiaohua Zhai, Yuxin Peng, Jianguo Xiao:
Heterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval. - Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang:
Active Transfer Learning for Cross-System Recommendation.
Cognitive Systems Special Track
- Gordon Michael Briggs, Matthias Scheutz:
A Hybrid Architectural Approach to Understanding and Appropriately Generating Indirect Speech Acts. - 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. - Kevin Gold:
Learning to Efficiently Pursue Communication Goals on the Web with the GOSMR Architecture. - Abhishek B. Sharma, Kenneth D. Forbus:
Automatic Extraction of Efficient Axiom Sets from Large Knowledge Bases. - Abhishek B. Sharma, Kenneth D. Forbus:
Graph Traversal Methods for Reasoning in Large Knowledge-Based Systems.
Computational Sustainability and AI Special Track
- Charilaos Akasiadis, Georgios Chalkiadakis:
Agent Cooperatives for Effective Power Consumption Shifting. - Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley:
PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. - 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. - Daniel Fink, Theodoros Damoulas, Jaimin Dave:
Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data. - 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. - Wolfgang Ketter, Markus Peters, John Collins:
Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition. - Ronan LeBras, Bistra N. Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery:
Robust Network Design For Multispecies Conservation. - Prashant P. Reddy, Manuela M. Veloso:
Negotiated Learning for Smart Grid Agents: Entity Selection based on Dynamic Partially Observable Features. - Régis Sabbadin, Anne-France Viet:
A Tractable Leader-Follower MDP Model for Animal Disease Management. - Huijuan Shao, Manish Marwah, Naren Ramakrishnan:
A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings. - Daniel R. 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. - Alexander David Styler, Illah Reza Nourbakhsh:
Model Predictive Control with Uncertainty in Human Driven Systems. - Andreas Veit, Ying Xu, Ronghuo Zheng, Nilanjan Chakraborty, Katia P. Sycara:
Multiagent Coordination for Energy Consumption Scheduling in Consumer Cooperatives. - Bistra N. 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.
Robotics Special Track
- Danilo Bruno, Sylvain Calinon, Darwin G. Caldwell:
Bayesian Nonparametric Multi-Optima Policy Search in Reinforcement Learning. - Caroline Ponzoni Carvalho Chanel, Florent Teichteil-Königsbuch, Charles Lesire:
Multi-Target Detection and Recognition by UAVs Using Online POMDPs. - Been Kim, Caleb M. Chacha, Julie A. Shah:
Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior. - Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann:
Data-Efficient Generalization of Robot Skills with Contextual Policy Search. - João Vicente Messias, Matthijs T. J. Spaan, Pedro U. Lima:
GSMDPs for Multi-Robot Sequential Decision-Making. - Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell, Pablo Jiménez, Carme Torras:
Learning Collaborative Impedance-Based Robot Behaviors. - Michael Ruhnke, Liefeng Bo, Dieter Fox, Wolfram Burgard:
Compact RGBD Surface Models Based on Sparse Coding. - Jingjin Yu, Steven M. LaValle:
Structure and Intractability of Optimal Multi-Robot Path Planning on Graphs.
Pre-PhD Student Abstracts
- Robert Kyle Eichelberger, Victor S. Sheng:
Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications? - 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. - Keisuke Hara, Takayuki Ito:
A Mediation Mechanism for Automated Negotiating Agents Whose Utility Changes over Time. - Mohammad Rashedul Hasan, Anita Raja:
The Role of Complex Network Dynamics in the Emergence of Multiagent Coalition. - Soumya C. Kambhampati, Thomas Liu:
Phase Transition and Network Structure in Realistic SAT Problems. - Walter Stephen Lasecki, Leon Weingard, Jeffrey Philip Bigham, George Ferguson:
Crowd Formalization of Action Conditions. - Hongbo Li, Yanchun Liang, Jinsong Guo, Zhanshan Li:
Making Simple Tabular ReductionWorks on Negative Table Constraints. - Xiaomei Li, Xindong Wu, Gong-Qing Wu, Xuegang Hu:
Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. - Guohua Liang, Anthony G. Cohn:
An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging. - Hui Meen Nyew, Nilufer Onder, Soner Önder, Zhenlin Wang:
A First-Order Logic Based Framework for Verifying Simulations. - Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar:
Simplified Lattice Models for Protein Structure Prediction: How Good Are They? - Ding Tu, Ling Chen, Gencai Chen:
WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus. - Xiao Yang, Zhaoxin Zhang, Qiang Wang:
Personalized Recommendation Based on Co-Ranking and Query-Based Collaborative Diffusion. - Jing Zhang, Xindong Wu, Victor Shengli Sheng:
Imbalanced Multiple Noisy Labeling for Supervised Learning.
AAAI-SIGART Doctoral Consortium
- Shekhar Gupta:
An Optimal Task Assignment Policy and Performance Diagnosis Strategy for Heterogeneous Hadoop Cluster. - Brent Edward Harrison:
Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics. - Anastasia Paparrizou:
Efficient Algorithms for Strong Local Consistencies in Constraint Satisfaction Problems. - Mariana Recamonde Mendoza, Ana Lúcia C. Bazzan:
The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions?
maintained by 
at 
at 
last updated on 2018-07-12 22:08 CEST by the dblp team
data released under the ODC-BY 1.0 license
see also: Terms of Use | Privacy Policy | Imprint