eBook - PDF
Support Vector Machines
Optimization Based Theory, Algorithms, and Extensions
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- 363 pages
- English
- PDF
- 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.
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Table of contents
- Front Cover
- Dedication
- Contents
- List of Figures
- List of Tables
- Preface
- List of Symbols
- 1. Optimization
- 2. Linear Classification
- 3. Linear Regression
- 4. Kernels and Support Vector Machines
- 5. Basic Statistical Learning Theory of C-Support Vector Classification
- 6. Model Construction
- 7. Implementation
- 8. Variants and Extensions of Support Vector Machines
- Bibliography