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 / edited by Luc Lamontagne, Mario Marchand.

Format:

Book

Contributor:

Lamontagne, Luc, 1953- editor.

Marchand, Mario, 1956- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4013.

Lecture Notes in Artificial Intelligence ; 4013

Language:

English

Subjects (All):

Artificial intelligence.

Artificial Intelligence.

Local Subjects:

Artificial Intelligence.

Physical Description:

1 online resource (XIV, 566 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-34630-2

9783540346302

Access Restriction:

Restricted for use by site license.