Advances in artificial intelligence : 14th Biennial Conference of the Canadian Society for Computational Studi | Canadian Society for Computational Studies of Intelligence. Conference (14th : 2001 : Ottawa, Ont.), Stroulia, Eleni, Matwin, Stan
Advances in artificial intelligence : 14th Biennial Conference of the Canadian Society for Computational Studi
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Author: Canadian Society for Computational Studies of Intelligence. Conference (14th : 2001 : Ottawa, Ont.), Stroulia, Eleni, Matwin, Stan
Added by: sketch
Added Date: 2015-12-30
Publication Date: 2001
Language: eng
Subjects: Artificial intelligence, Machine learning
Publishers: New York : Springer
Collections: journals contributions, journals
ISBN Number: 3540421440
Pages Count: 300
PPI Count: 300
PDF Count: 1
Total Size: 192.21 MB
PDF Size: 4.77 MB
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Edition: [Elektronische Ressource]
Downloads: 789
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Total Files: 18
Media Type: texts
Description
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
Author: Eleni Stroulia, Stan Matwin
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42144-3
DOI: 10.1007/3-540-45153-6
Table of Contents:
Includes bibliographical references and index
Author: Eleni Stroulia, Stan Matwin
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42144-3
DOI: 10.1007/3-540-45153-6
Table 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