Overview

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

ISBN-13

9781461207122

ISBN-10

1461207126

Weight

2.01 Pounds

Dimensions

6.14 x 1.33 x 9.21 In

List Price

$24.99

Format

Paperback

Language

English

Pages

660 pages

Publisher

Springer

Published On

2014-09-01



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