Advances in Artificial Intelligence 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Quebec City, Quebec, Canada, June 7-9, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lamontagne, Luc (Editor ), Marchand, Mario (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Lecture Notes in Artificial Intelligence, 4013
Temas:
Artificial intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Agents
  • Integrating Information Gathering Interaction into Transfer of Control Strategies in Adjustable Autonomy Multiagent Systems
  • A Pruning-Based Algorithm for Computing Optimal Coalition Structures in Linear Production Domains
  • A Smart Home Agent for Plan Recognition
  • Using Multiagent Systems to Improve Real-Time Map Generation
  • An Efficient Resource Allocation Approach in Real-Time Stochastic Environment
  • Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games
  • How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A 'Believable' and 'Usable' Multiagent-Based Simulation of Customers' Shopping Behavior in a Mall
  • Bioinformatics
  • A New Profile Alignment Method for Clustering Gene Expression Data
  • A Classification-Based Glioma Diffusion Model Using MRI Data
  • 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
  • Constraint Satisfaction and Search
  • Relaxation of Soft Constraints Via a Unified Semiring
  • Intelligent Information Personalization Leveraging Constraint Satisfaction and Association Rule Methods
  • On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT
  • Simple Support-Based Distributed Search
  • Knowledge Representation and Reasoning
  • Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
  • An Improved LAZY-AR Approach to Bayesian Network Inference
  • Four-Valued Semantics for Default Logic
  • Exploiting Dynamic Independence in a Static Conditioning Graph
  • Probabilistic Melodic Harmonization
  • Learning Bayesian Networks in Semi-deterministic Systems
  • Progressive Defeat Paths in Abstract Argumentation Frameworks
  • Natural Language
  • Parsing Korean Honorification Phenomena in a Typed Feature Structure Grammar
  • Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity
  • Unsupervised Labeling of Noun Clusters
  • Language Patterns in the Learning of Strategies from Negotiation Texts
  • Using Natural Language Processing to Assist the Visually Handicapped in Writing Compositions
  • Text Compression by Syntactic Pruning
  • Beyond the Bag of Words: A Text Representation for Sentence Selection
  • Sentiment Tagging of Adjectives at the Meaning Level
  • Reinforcement Learning
  • Adaptive Fraud Detection Using Benford's Law
  • Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
  • Trace Equivalence Characterization Through Reinforcement Learning
  • Belief Selection in Point-Based Planning Algorithms for POMDPs
  • Supervised and Unsupervised Learning
  • Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization
  • Adaptive Clustering Algorithms
  • Classification Based on Logical Concept Analysis
  • Machine Learning in a Quantum World
  • A New Attempt to Silhouette-Based Gait Recognition for Human Identification
  • Learning Naïve Bayes Tree for Conditional Probability Estimation
  • On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques
  • Discriminative vs. Generative Classifiers for Cost Sensitive Learning
  • The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization
  • Learning Naive Bayes for Probability Estimation by Feature Selection
  • Lazy Averaged One-Dependence Estimators
  • Probabilistic Inference Trees for Classification and Ranking
  • Parameter Estimation of One-Class SVM on Imbalance Text Classification
  • User Modeling
  • MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku.

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