Christmann, Andreas
Support Vector Machines
Table of contents
1. Introduction
2. Loss Functions and Their Risks
3. Surrogate Loss Functions (*)
4. Kernels and Reproducing Kernel Hilbert Spaces
5. Infinite-Sample Versions of Support Vector Machines
6. Basic Statistical Analysis of SVMs
7. Advanced Statistical Analysis of SVMs (*)
8. Support Vector Machines for Classification
9. Support Vector Machines for Regression
10. Robustness
11. Computational Aspects
12. Data Mining
DRM-restrictions
Printing: not available
Clipboard copying: not available
Keywords: COMPUTERS / Computer Science COM014000
- Author(s)
- Christmann, Andreas
- Steinwart, Ingo
- Publisher
- Springer
- Publication year
- 2008
- Language
- en
- Edition
- 1
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9780387772424
