Meta-Learning in Computational Intelligence

ISBN: 978-3-642-20979-6 (Print) 978-3-642-20980-2 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages -

  2. No Access

    Book Chapter

    Pages 1-76

    Universal Meta-Learning Architecture and Algorithms

  3. No Access

    Book Chapter

    Pages 77-95

    Meta-Learning of Instance Selection for Data Summarization

  4. No Access

    Book Chapter

    Pages 97-115

    Choosing the Metric: A Simple Model Approach

  5. No Access

    Book Chapter

    Pages 117-155

    Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge

  6. No Access

    Book Chapter

    Pages 157-177

    Computational Intelligence for Meta-Learning: A Promising Avenue of Research

  7. No Access

    Book Chapter

    Pages 179-223

    Self-organization of Supervised Models

  8. No Access

    Book Chapter

    Pages 225-243

    Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach

  9. No Access

    Book Chapter

    Pages 245-272

    A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models

  10. No Access

    Book Chapter

    Pages 273-315

    Ontology-Based Meta-Mining of Knowledge Discovery Workflows

  11. No Access

    Book Chapter

    Pages 317-358

    Optimal Support Features for Meta-Learning

  12. Back Matter

    Pages -