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Pattern classification /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pattern classification // Richard O. Duda, Peter E. Hart, David G. Stork.
作者:	Duda, Richard O.
其他作者:	Hart, Peter E.
出版者:	New York :Wiley, : c2001.,
面頁冊數:	xx, 654 p. :ill. ;27 cm.
附註:	"A Wiley-Interscience Publication."
標題:	Pattern recognition systems. -
電子資源:	http://bvbr.bib-bvb.de:8991/F?func=service&doc%5Flibrary=BVB01&doc%5Fnumber=008943047&line%5Fnumber=0002&func%5Fcode=DB%5FRECORDS&service%5Ftype=MEDIA
電子資源:	http://swbplus.bsz-bw.de/bsz088842428cov.htm
電子資源:	http://bvbr.bib-bvb.de:8991/F?func=service&doc%5Flibrary=BVB01&doc%5Fnumber=008943047&line%5Fnumber=0001&func%5Fcode=DB%5FRECORDS&service%5Ftype=MEDIA
電子資源:	http://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=3198235
電子資源:	http://catdir.loc.gov/catdir/toc/onix03/99029981.html
電子資源:	http://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=3198236&custom%5Fatt%5F2=simple%5Fviewer
電子資源:	http://catdir.loc.gov/catdir/bios/wiley041/99029981.html
電子資源:	http://catdir.loc.gov/catdir/description/wiley032/99029981.html
ISBN:	0471056693 (alk. paper)

Pattern classification /
Duda, Richard O.

Pattern classification /Richard O. Duda, Peter E. Hart, David G. Stork. - 2nd ed. - New York :Wiley,c2001. - xx, 654 p. :ill. ;27 cm.

"A Wiley-Interscience Publication."

Includes bibliographical references and index.

Introduction --

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.

ISBN: 0471056693 (alk. paper)

LCCN: 99029981Subjects--Topical Terms:

527885
Pattern recognition systems.

LC Class. No.: Q327 / .D83 2001

Dewey Class. No.: 006.4

Pattern classification /
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505 0 0 $t Introduction -- $t Bayesian decision theory -- $t Maximum-likelihood and Bayesian parameter estimation -- $t Nonparametric techniques -- $t Linear discriminant functions -- $t Multilayer neural networks -- $t Stochastic methods -- $t Nonmetric methods -- $t Algorithm-independent machine learning -- $t Unsupervised learning and clustering -- $t Mathematical foundations.
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