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Advances in artificial intelligence : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001 : proceedings by Canadian Society for Computational Studi...

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TitleAdvances in artificial intelligence : 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001 : proceedings
CreatorCanadian Society for Computational Studies of Intelligence. Conference (14th : 2001 : Ottawa, Ont.), Stroulia, Eleni, Matwin, Stan
Year2001
PPI300
PublisherNew York : Springer
LanguageEnglish
Mediatypetexts
SubjectArtificial intelligence, Machine learning
ISBN3540421440
Collectionjournals_contributions, journals
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Identifierspringer_10.1007-3-540-45153-6
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Advances in Artificial Intelligence: 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7–9, 2001 ProceedingsAuthor: Eleni Stroulia, Stan Matwin Published by Springer Berlin Heidelberg ISBN: 978-3-540-42144-3 DOI: 10.1007/3-540-45153-6Table of Contents:A Case Study for Learning from Imbalanced Data Sets A Holonic Multi-agent Infrastructure for Electronic Procurement A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property A Statistical Corpus-Based Term Extractor Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search Concept-Learning in the Presence of Between-Class and Within-Class Imbalances Constraint Programming Lessons Learned from Crossword Puzzles Constraint-Based Vehicle Assembly Line Sequencing How AI Can Help SE; or: Randomized Search Not Considered Harmful Imitation and Reinforcement Learning in Agents with Heterogeneous Actions Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study Learning about Constraints by Reflection Learning Bayesian Belief Network Classifiers: Algorithms and System Local Score Computation in Learning Belief networks Personalized Contexts in Help Systems QA-LaSIE: A Natural Language Question answering system Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities Searching for Nacro Operators with Automatically Generated Heuristics Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem, Includes bibliographical references and index