Support Vector Machines for Pattern Classification

1. Introduction
Shigeo Abe

2. Two-Class Support Vector Machines
Shigeo Abe

3. Multiclass Support Vector Machines
Shigeo Abe

4. Variants of Support Vector Machines
Shigeo Abe

5. Training Methods
Shigeo Abe

6. Kernel-Based Methods
Kernel@Kernel-based method


Shigeo Abe

7. Feature Selection and Extraction
Shigeo Abe

8. Clustering
Shigeo Abe

9. Maximum-Margin Multilayer Neural Networks
Shigeo Abe

10. Maximum-Margin Fuzzy Classifiers
Shigeo Abe

11. Function Approximation
Shigeo Abe

Keywords: Computer Science, Pattern Recognition, Document Preparation and Text Processing, Artificial Intelligence (incl. Robotics), Control, Robotics, Mechatronics