Pattern Classification / Edition 2

Pattern Classification / Edition 2

ISBN-10:
0471056693
ISBN-13:
9780471056690
Pub. Date:
11/28/2000
Publisher:
Wiley
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Overview

Pattern Classification / Edition 2

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Product Details

ISBN-13: 9780471056690
Publisher: Wiley
Publication date: 11/28/2000
Edition description: REV
Pages: 680
Sales rank: 351,618
Product dimensions: 7.26(w) x 10.12(h) x 1.23(d)

Table of Contents

Bayesian Decision Theory.

Maximum-Likelihood and Bayesian Parameter Estimation.

Nonparametric Techniques.

Linear Discriminant Functions.

Multilayer Neural Networks.

Stochastic Methods.

Nonmetric Methods.

Algorithm-Independent Machine Learning.

Unsupervised Learning and Clustering.

Appendix.

Index.

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