Advances in artificial intelligence : 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007 : proceedings / Ziad Kobti, Dan Wu (eds.).

Includes bibliographical references and index.

Print version record.

Session 1. Agents -- Modeling Role-Based Agent Team -- Distributed Collaborative Filtering for Robust Recommendations Against Shilling Attacks -- Competition and Coordination in Stochastic Games -- Multiagent-Based Dynamic Deployment Planning in RTLS-Enabled Automotive Shipment Yard -- R-FRTDP: A Real-Time DP Algorithm with Tight Bounds for a Stochastic Resource Allocation Problem -- A Reorganization Strategy to Build Fault-Tolerant Multi-Agent Systems -- Session 2. Bioinformatics -- A Multi-site Subcellular Localizer for Fungal Proteins -- Selecting Genotyping Oligo Probes Via Logical Analysis of Data -- Session 3. Classification -- Learning the Semantic Meaning of a Concept from the Web -- On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition -- A Novel Approach for Automatic Palmprint Recognition -- ICS: An Interactive Classification System -- Fast Most Similar Neighbor Classifier for Mixed Data -- Performance Measures in Classification of Human Communications -- Cost-Sensitive Decision Trees with Pre-pruning -- Probability Based Metrics for Locally Weighted Naive Bayes -- Recurrent Boosting for Classification of Natural and Synthetic Time-Series Data -- Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach -- Session 4. Constraint Satisfaction -- Managing Conditional and Composite CSPs -- Multiagent Constraint Satisfaction with Multiply Sectioned Constraint Networks -- Session 5. Data Mining -- A Clustering Algorithm Based on Adaptive Subcluster Merging -- Efficient Algorithms for Video Association Mining -- Distributed Data Mining in a Ubiquitous Healthcare Framework -- Constructing a User Preference Ontology for Anti-spam Mail Systems -- Question Answering Summarization of Multiple Biomedical Documents -- A Profit-Based Business Model for Evaluating Rule Interestingness -- Session 6. Knowledge Representation and Reasoning -- Reasoning About Operations on Sets -- Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation -- Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks -- Adding Local Constraints to Bayesian Networks -- On the Use of Possibilistic Bases for Local Computations in Product-Based Possibilistic Networks -- Reasoning with Conditional Preferences Across Attributes -- Path Propagation for Inference in Bayesian Networks -- Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System -- Incremental Neighborhood Graphs Construction for Multidimensional Databases Indexing -- Session 7. Learning -- Learning Network Topology from Simple Sensor Data -- Reinforcement Learning in Nonstationary Environment Navigation Tasks -- On the Stability and Bias-Variance Analysis of Kernel Matrix Learning -- Session 8. Natural Language -- Query-Based Summarization of Customer Reviews -- Multi-state Directed Acyclic Graphs -- Fuzzy Clustering for Topic Analysis and Summarization of Document Collections -- Creating a Fuzzy Believer to Model Human Newspaper Readers -- Rethinking the Semantics of Complex Nominals -- A Hybrid Approach to Improving Automatic Speech Recognition Via NLP -- Session 9. Planning -- Planning in Multiagent Expedition with Collaborative Design Networks -- Hierarchical Shortest Pathfinding Applied to Route-Planning for Wheelchair Users.