Support vector machines for pattern classification

Support vector machines are popular because of their high classification importance; this book focuses on the discussions on SVMs specifically to pattern classification.

Introduction

Two-class Support Vector Machines

Multiclass Support Vector Machines

Variants of Support Vector Machines

Training Methods

Feature Selection and Extraction

Clustering

Kernel-Based Methods

Maximum Margin Multilayer Neural Networks

Maximum Margin Fuzzy Classifiers

Function Approximation

Conventional Classifiers

Matrices

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Table of Contents