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Combining pattern classifiers = meth...

Kuncheva, Ludmila I. (1959-)

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Combining pattern classifiers = methods and algorithms /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Combining pattern classifiers/ Ludmila I. Kuncheva.
其他題名:	methods and algorithms /
作者:	Kuncheva, Ludmila I.
出版者:	Hoboken, New Jersey :John Wiley & Sons, Inc., : 2014.,
面頁冊數:	1 online resource (xxi, 357 p.)
標題:	Pattern recognition systems. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118914564
ISBN:	9781118914557

Combining pattern classifiers = methods and algorithms /
Kuncheva, Ludmila I.1959-

Combining pattern classifiersmethods and algorithms /[electronic resource] :Ludmila I. Kuncheva. - 2nd ed. - Hoboken, New Jersey :John Wiley & Sons, Inc.,2014. - 1 online resource (xxi, 357 p.)

Includes bibliographical references and index.

"Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. In a didactic, detailed assessment, Combining Pattern Classifiers examines the basic theories and tactics of classifier combination while presenting the most recent research in the field. Among the pattern recognition tasks that this book explores are mail sorting, face recognition, signature verification, decoding brain fMRI images, identifying emotions, analyzing gene microarray data, and spotting patterns in consumer preference. This updated second edition is equipped with the latest knowledge for academics, students, and practitioners involved in pattern recognition fields"--

ISBN: 9781118914557

LCCN: 2014016123Subjects--Topical Terms:

527885
Pattern recognition systems.

LC Class. No.: TK7882.P3 / K83 2014

Dewey Class. No.: 006.4

Combining pattern classifiers = methods and algorithms /
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082 0 0 $a 006.4 $2 23
100 1 $a Kuncheva, Ludmila I. $q (Ludmila Ilieva), $d 1959- $3 2147605
245 1 0 $a Combining pattern classifiers $h [electronic resource] : $b methods and algorithms / $c Ludmila I. Kuncheva.
250 $a 2nd ed.
260 $a Hoboken, New Jersey : $b John Wiley & Sons, Inc., $c 2014.
300 $a 1 online resource (xxi, 357 p.)
504 $a Includes bibliographical references and index.
520 $a "Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. In a didactic, detailed assessment, Combining Pattern Classifiers examines the basic theories and tactics of classifier combination while presenting the most recent research in the field. Among the pattern recognition tasks that this book explores are mail sorting, face recognition, signature verification, decoding brain fMRI images, identifying emotions, analyzing gene microarray data, and spotting patterns in consumer preference. This updated second edition is equipped with the latest knowledge for academics, students, and practitioners involved in pattern recognition fields"-- $c Provided by publisher.
520 $a "Classifier Combination is a field of growing interest within the very large area of Pattern Classification"-- $c Provided by publisher.
588 0 $a Online resource; title from digital title page (viewed on September 12, 2014).
650 0 $a Pattern recognition systems. $3 527885
650 0 $a Image processing $x Digital techniques. $3 532550
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118914564