Advances in Artificial Intelligence — IBERAMIA 2002

8th Ibero-American Conference on AI Seville, Spain, November 12–15, 2002 Proceedings

Editors:

ISBN: 978-3-540-00131-7 (Print) 978-3-540-36131-2 (Online)

Table of contents (96 chapters)

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  1. Knowledge Representation and Reasoning

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      Pages 1-10

      Improving Naive Bayes Using Class-Conditional ICA

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      Pages 11-20

      Detecting Events and Topics by Using Temporal References

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      Pages 21-31

      Asymmetric Neighbourhood Selection and Support Aggregation for Effective Classification

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      Pages 32-41

      Incremental Learning of Tree Augmented Naive Bayes Classifiers

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      Pages 42-49

      A Comparison of PCA and GA Selected Features for Cloud Field Classification

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      Pages 50-59

      Filtering Noisy Continuous Labeled Examples

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      Pages 60-69

      Designing Adaptive Hypermedia for Internet Portals: A Personalization Strategy Featuring Case Base Reasoning with Compositional Adaptation

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      Pages 70-79

      Improving Classification Accuracy of Large Test Sets Using the Ordered Classification Algorithm

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      Pages 80-89

      A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods

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      Pages 90-100

      Properties and Complexity in Feasible Logic-Based Argumentation for Electronic Commerce

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      Pages 101-110

      A Hybrid CBR Model for Forecasting in Complex Domains

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      Pages 111-120

      Generalized Modifiers as an Interval Scale: Towards Adaptive Colorimetric Alterations

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      Pages 121-130

      A Conceptual Graph and RDF(S) Approach for Representing and Querying Document Content

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      Pages 131-140

      Automatic Optimization of Multi-paradigm Declarative Programs

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      Pages 141-150

      SLFD Logic: Elimination of Data Redundancy in Knowledge Representation

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      Pages 151-160

      Indeed: Interactive Deduction on Horn Clause Theories

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      Pages 161-171

      Restricted Δ-Trees and Reduction Theorems in Multiple-Valued Logics

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      Pages 172-181

      Max-CSP Approach for Software Diagnosis

  2. Machine Learning

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      Pages 182-192

      Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs

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      Pages 193-203

      A Quasi-Metric for Machine Learning

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