Support Vector Machines. Optimization Based Theory, Algorithms, and Extensions

✍ Scribed by Naiyang Deng, Yingjie Tian, Chunhua Zhang

Publisher: CRC Press, Taylor & Francis Group
Year: 2013
Tongue: English
Leaves: 345
Series: Data Mining and Knowledge Discovery Series
Category: Library

No coin nor oath required. For personal study only.

✦ 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

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