An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods

Tong Zhang


This book is an introduction to support vector machines and related kernel methods in supervised learning, whose task is to estimate an input-output functional relationship from a training set of examples. A learning problem is referred to as classification if its output take discrete values in a set of possible categories and regression if it has continuous real-valued output.

Full Text:



Copyright © 2018, Association for the Advancement of Artificial Intelligence ( All rights reserved.