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E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/41347061 Title: Pattern classification Author: Richard O Duda; Peter E Hart; David G Stork Publisher: New York : Wiley, ©2001. ISBN/ISSN: 0471056693 9780471056690 0471429775 9780471429777 OCLC:41347061

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Pattern classification

Author:	Richard O Duda; Peter E Hart; David G Stork
Publisher:	New York : Wiley, ©2001.
Edition/Format:	Print book : English : 2nd edView all editions and formats
Summary:	This edition has been completely revised, enlarged and formatted in two colours. It is a systematic account of the major topics in pattern recognition, based on the fundamental principles. It includes extensive examples.
Rating:	(not yet rated) 0 with reviews - Be the first.
Subjects	Pattern recognition systems. Statistical decision. Pattern Recognition, Automated. View all subjects
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Additional Physical Format:	Online version: Duda, Richard O. Pattern classification. New York : Wiley, ©2001 (OCoLC)606241322 Online version: Duda, Richard O. Pattern classification. New York : Wiley, ©2001 (OCoLC)631012887
Material Type:	Internet resource
Document Type:	Book, Internet Resource
All Authors / Contributors:	Richard O Duda; Peter E Hart; David G Stork Find more information about:
ISBN:	0471056693 9780471056690 0471429775 9780471429777
OCLC Number:	41347061
Notes:	"A Wiley-Interscience Publication."
Description:	xx, 654 pages : illustrations ; 27 cm
Contents:	Introduction -- 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 -- Mathematical foundations.
Responsibility:	Richard O. Duda, Peter E. Hart, David G. Stork.
More information:	Table of contents Contributor biographical information Publisher description The Classes of 1883 and 1884 Fund Home Page

Abstract:

Pattern recognition is the construction of algorithms to decode and recognize images or data patterns in so-called random data. It is a vital and growing field with applications in artifical Read more...

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"...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model." (Journal of Statistical Computation and Simulation, March Read more...

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