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Combining pattern classifiers[electr...

Kuncheva, Ludmila I. (1959-)

Combining pattern classifiers[electronic resource] :methods and algorithms /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.4
書名/作者:	Combining pattern classifiers : methods and algorithms // Ludmila I. Kuncheva.
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.
標題:	Image processing - Digital techniques.
ISBN:	9781118914557
ISBN:	1118914554
ISBN:	9781118914564
ISBN:	1118914562
書目註:	Includes bibliographical references and index.
摘要、提要註:	"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"--
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118914564

Combining pattern classifiers[electronic resource] :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:

189561
Pattern recognition systems.

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

Dewey Class. No.: 006.4

Combining pattern classifiers[electronic resource] :methods and algorithms /
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020 $a 9781118914557 $q electronic bk.
020 $a 1118914554 $q electronic bk.
020 $a 9781118914564 $q electronic bk.
020 $a 1118914562 $q electronic bk.
020 $z 9781118914540
020 $z 1118914546
020 $z 9781118315231 $q hardback
020 $z 1118315235 $q hardback
035 $a (OCoLC)878051089
035 $a ocn878051089
040 $a DLC $b eng $c DLC $d YDX $d N $d EBLCP $d YDXCP $d OCLCF $d OCLCO $d DG1 $d OCLCQ
050 1 0 $a TK7882.P3 $b K83 2014
082 0 0 $a 006.4 $2 23
100 1 $a Kuncheva, Ludmila I. $q (Ludmila Ilieva), $d 1959- $3 623269
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 189561
650 0 $a Image processing $x Digital techniques. $3 365611
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118914564

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