Support Vector Machines
eBook - PDF

Support Vector Machines

Optimization Based Theory, Algorithms, and Extensions

  1. 363 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Support Vector Machines

Optimization Based Theory, Algorithms, and Extensions

Book details
Table of contents
Citations

About This Book

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which

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Yes, you can access Support Vector Machines by Naiyang Deng, Yingjie Tian, Chunhua Zhang in PDF and/or ePUB format, as well as other popular books in Business & Operations. We have over one million books available in our catalogue for you to explore.

Information

Year
2012
ISBN
9781439857939
Edition
1
Subtopic
Operations

Table of contents

  1. Front Cover
  2. Dedication
  3. Contents
  4. List of Figures
  5. List of Tables
  6. Preface
  7. List of Symbols
  8. 1. Optimization
  9. 2. Linear Classification
  10. 3. Linear Regression
  11. 4. Kernels and Support Vector Machines
  12. 5. Basic Statistical Learning Theory of C-Support Vector Classification
  13. 6. Model Construction
  14. 7. Implementation
  15. 8. Variants and Extensions of Support Vector Machines
  16. Bibliography