Machine Learning

Modeling Data Locally and Globally

ISBN: 978-3-540-79451-6 (Print) 978-3-540-79452-3 (Online)

Table of contents (8 chapters)

  1. Front Matter

    Pages I-X

  2. No Access

    Chapter

    Pages 1-11

    Introduction

  3. No Access

    Chapter

    Pages 13-27

    Global Learning vs. Local Learning

  4. No Access

    Chapter

    Pages 29-68

    A General Global Learning Model: MEMPM

  5. No Access

    Chapter

    Pages 69-95

    Learning Locally and Globally: Maxi-Min Margin Machine

  6. No Access

    Chapter

    Pages 96-117

    Extension I: BMPM for Imbalanced Learning

  7. No Access

    Chapter

    Pages 119-132

    Extension II: A Regression Model from M4

  8. No Access

    Chapter

    Pages 133-159

    Extension III: Variational Margin Settings within Local Data in Support Vector Regression

  9. No Access

    Chapter

    Pages 161-165

    Conclusion and Future Work

  10. Back Matter

    Pages 167-169