Inductive Logic Programming

16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers

Editors:

ISBN: 978-3-540-73846-6 (Print) 978-3-540-73847-3 (Online)

Table of contents (39 chapters)

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  1. Front Matter

    Pages -

  2. Invited Papers

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      Book Chapter

      Pages 1-1

      Actions, Causation and Logic Programming

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      Pages 2-9

      Challenges to Machine Learning: Relations Between Reality and Appearance

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      Pages 10-24

      First-Order Probabilistic Languages: Into the Unknown

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      Pages 25-25

      Integration of Learning and Reasoning Techniques

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      Book Chapter

      Pages 26-26

      Injecting Life with Computers

  3. Special Issue Extended Abstracts

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      Book Chapter

      Pages 27-29

      On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate

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      Book Chapter

      Pages 30-33

      Revising Probabilistic Prolog Programs

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      Pages 34-36

      Inductive Logic Programming for Gene Regulation Prediction

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      Pages 37-39

      QG/GA: A Stochastic Search for Progol

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      Pages 40-42

      Generalized Ordering-Search for Learning Directed Probabilistic Logical Models

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      Pages 43-45

      ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions

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      Book Chapter

      Pages 46-48

      Margin-Based First-Order Rule Learning

  4. Research Papers

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      Book Chapter

      Pages 49-63

      Extension of the Top-Down Data-Driven Strategy to ILP

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      Pages 64-78

      Extracting Requirements from Scenarios with ILP

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      Pages 79-93

      Learning Recursive Patterns for Biomedical Information Extraction

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      Pages 94-108

      Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks

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      Book Chapter

      Pages 109-124

      Multi-class Prediction Using Stochastic Logic Programs

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      Book Chapter

      Pages 125-138

      Structuring Natural Language Data by Learning Rewriting Rules

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      Book Chapter

      Pages 139-153

      An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification

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      Book Chapter

      Pages 154-168

      Towards Automating Simulation-Based Design Verification Using ILP

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