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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

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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

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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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
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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
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

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