Knowledge Discovery with Support Vector Machines

This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:

• Knowledge discovery environments

• Describing data mathematically

• Linear decision surfaces and functions

• Perceptron learning

• Maximum margin classifiers

• Support vector...