AI 2003: Advances in Artificial Intelligence

16th Australian Conference on AI, Perth, Australia, December 3-5, 2003. Proceedings

Editors:

ISBN: 978-3-540-20646-0 (Print) 978-3-540-24581-0 (Online)

Table of contents (91 chapters)

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  1. Front Matter

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  2. Keynote Papers

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      Pages 1-11

      Discovery of Emerging Patterns and Their Use in Classification

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      Pages 12-23

      Robot Soccer: Science or Just Fun and Games?

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      Pages 24-40

      On How to Learn from a Stochastic Teacher or a Stochastic Compulsive Liar of Unknown Identity

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      Pages 41-52

      Multimedia Analysis and Synthesis

  3. Ontology

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      Pages 53-64

      Modelling Message Handling System

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      Pages 65-76

      A New Approach for Concept-Based Web Search

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      Pages 77-87

      Representing the Spatial Relations in the Semantic Web Ontologies

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      Pages 88-99

      Inductive Construction of Ontologies from Formal Concept Analysis

  4. Problem Solving

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      Pages 100-111

      Dynamic Variable Filtering for Hard Random 3-SAT Problems

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      Pages 112-124

      A Proposal of an Efficient Crossover Using Fitness Prediction and Its Application

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      Pages 125-136

      A New Hybrid Genetic Algorithm for the Robust Graph Coloring Problem

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      Pages 137-149

      Estimating Problem Metrics for SAT Clause Weighting Local Search

  5. Knowledge Discovery and Data Mining I

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      Pages 150-160

      Information Extraction via Path Merging

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      Pages 161-172

      Natural Language Agreement Description for Reversible Grammars

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      Pages 173-185

      Token Identification Using HMM and PPM Models

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      Pages 186-195

      Korean Compound Noun Term Analysis Based on a Chart Parsing Technique

  6. Knowledge Discovery and Data Milling II

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      Pages 196-207

      A Language Modeling Approach to Search Distributed Text Databases

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      Pages 208-220

      Combining Multiple Host-Based Detectors Using Decision Tree

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      Pages 221-232

      Association Rule Discovery with Unbalanced Class Distributions

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      Pages 233-244

      Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers

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