A Probabilistic Theory of Pattern Recognition

Name: A Probabilistic Theory of Pattern Recognition
SKU: 22342437
Price: 251.99 AUD
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Paperback / softback

Series:

Stochastic Modelling and Applied Probability

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Description

Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.

Release date Australia

November 22nd, 2013

Author

Audience

Professional & Vocational

Edition

Softcover reprint of the original 1st ed. 1996

Illustrations

XV, 638 p.

Pages

638

Series

Stochastic Modelling and Applied Probability

Dimensions

155x235x34

ISBN-13

9781461268772

Product ID

22342437

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