19. AI 2006: Québec, Canada

Agents

• Michael Y. K. Cheng, Robin Cohen:
  Integrating Information Gathering Interaction into Transfer of Control Strategies in Adjustable Autonomy Multiagent Systems. 1-12
  
• Chattrakul Sombattheera, Aditya Ghose:
  A Pruning-Based Algorithm for Computing Optimal Coalition Structures in Linear Production Domains. 13-24
  
• Bruno Bouchard, Sylvain Giroux, Abdenour Bouzouane:
  A Smart Home Agent for Plan Recognition. 25-36
  
• Nafaâ Jabeur, Boubaker Boulekrouche, Bernard Moulin:
  Using Multiagent Systems to Improve Real-Time Map Generation. 37-48
  
• Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak Benaskeur:
  An Efficient Resource Allocation Approach in Real-Time Stochastic Environment. 49-60
  
• Stéphane Ross, Brahim Chaib-draa:
  Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games. 61-72
  
• Walid Ali, Bernard Moulin:
  How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A 'Believable' and 'Usable' Multiagent-Based Simulation of Customers' Shopping Behavior in a Mall. 73-85
  

Bioinformatics

• Ataul Bari, Luis Rueda:
  A New Profile Alignment Method for Clustering Gene Expression Data. 86-97
  
• Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt:
  A Classification-Based Glioma Diffusion Model Using MRI Data. 98-109
  
• Alireza Shaneh, Gregory Butler:
  Bayesian Learning for Feed-Forward Neural Network with Application to Proteomic Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study. 110-121
  

Constraint Satisfaction and Search

• Peter Harvey, Aditya Ghose:
  Relaxation of Soft Constraints Via a Unified Semiring. 122-133
  
• Syed Sibte Raza Abidi, Yan Zeng:
  Intelligent Information Personalization Leveraging Constraint Satisfaction and Association Rule Methods. 134-145
  
• Dave A. D. Tompkins, Holger H. Hoos:
  On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT. 146-158
  
• Peter Harvey, Chee Fon Chang, Aditya Ghose:
  Simple Support-Based Distributed Search. 159-170
  

Knowledge Representation and Reasoning

• Y. Xiang, N. Jia:
  Modeling Causal Reinforcement and Undermining with Noisy-AND Trees. 171-182
  
• Cory J. Butz, Shan Hua:
  An Improved LAZY-AR Approach to Bayesian Network Inference. 183-194
  
• Anbu Yue, Yue Ma, Zuoquan Lin:
  Four-Valued Semantics for Default Logic. 195-205
  
• Kevin Grant, Michael C. Horsch:
  Exploiting Dynamic Independence in a Static Conditioning Graph. 206-217
  
• Jean-François Paiement, Douglas Eck, Samy Bengio:
  Probabilistic Melodic Harmonization. 218-229
  
• Wei Luo:
  Learning Bayesian Networks in Semi-deterministic Systems. 230-241
  
• Diego C. Martínez, Alejandro Javier García, Guillermo Ricardo Simari:
  Progressive Defeat Paths in Abstract Argumentation Frameworks. 242-253
  

Natural Language

• Jong-Bok Kim, Peter Sells, Jaehyung Yang:
  Parsing Korean Honorification Phenomena in a Typed Feature Structure Grammar. 254-265
  
• David Nadeau, Peter D. Turney, Stan Matwin:
  Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity. 266-277
  
• Theresa Jickels, Grzegorz Kondrak:
  Unsupervised Labeling of Noun Clusters. 278-287
  
• Marina Sokolova, Stan Szpakowicz:
  Language Patterns in the Learning of Strategies from Negotiation Texts. 288-299
  
• Jacques Chelin, Leila Kosseim, Thiruvengadam Radhakrishnan:
  Using Natural Language Processing to Assist the Visually Handicapped in Writing Compositions. 300-311
  
• Michel Gagnon, Lyne Da Sylva:
  Text Compression by Syntactic Pruning. 312-323
  
• Maria Fernanda Caropreso, Stan Matwin:
  Beyond the Bag of Words: A Text Representation for Sentence Selection. 324-335
  
• Alina Andreevskaia, Sabine Bergler:
  Sentiment Tagging of Adjectives at the Meaning Level. 336-346
  

Reinforcement Learning

• Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey:
  Adaptive Fraud Detection Using Benford's Law. 347-358
  
• Julien Laumonier, Brahim Chaib-draa:
  Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem. 359-370
  
• Josee Desharnais, François Laviolette, Krishna Priya Darsini Moturu, Sami Zhioua:
  Trace Equivalence Characterization Through Reinforcement Learning. 371-382
  
• Masoumeh T. Izadi, Doina Precup, Danielle Azar:
  Belief Selection in Point-Based Planning Algorithms for POMDPs. 383-394
  

Supervised and Unsupervised Learning

• Svetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili:
  Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. 395-406
  
• Alina Campan, Gabriela Serban:
  Adaptive Clustering Algorithms. 407-418
  
• Yan Zhao, Yiyu Yao:
  Classification Based on Logical Concept Analysis. 419-430
  
• Esma Aïmeur, Gilles Brassard, Sébastien Gambs:
  Machine Learning in a Quantum World. 431-442
  
• Murat Ekinci:
  A New Attempt to Silhouette-Based Gait Recognition for Human Identification. 443-454
  
• Han Liang, Yuhong Yan:
  Learning Naïve Bayes Tree for Conditional Probability Estimation. 455-466
  
• Mohammed Liakat Ali, Luis Rueda, Myriam Herrera:
  On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques. 467-478
  
• Chris Drummond:
  Discriminative vs. Generative Classifiers for Cost Sensitive Learning. 479-490
  
• Nicolas Chapados, Yoshua Bengio:
  The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. 491-502
  
• Liangxiao Jiang, Harry Zhang:
  Learning Naive Bayes for Probability Estimation by Feature Selection. 503-514
  
• Liangxiao Jiang, Harry Zhang:
  Lazy Averaged One-Dependence Estimators. 515-525
  
• Jiang Su, Harry Zhang:
  Probabilistic Inference Trees for Classification and Ranking. 526-537
  
• Ling Zhuang, Honghua Dai:
  Parameter Estimation of One-Class SVM on Imbalance Text Classification. 538-549
  

User Modeling

• Allan Caine, Robin Cohen:
  MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku. 550-561