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Combining pattern classifiers = meth...
~
Kuncheva, Ludmila I. (1959-)
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Combining pattern classifiers = methods and algorithms /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Combining pattern classifiers/ Ludmila I. Kuncheva.
Reminder of title:
methods and algorithms /
Author:
Kuncheva, Ludmila I.
Published:
Hoboken, New Jersey :John Wiley & Sons, Inc., : 2014.,
Description:
1 online resource (xxi, 357 p.)
Subject:
Pattern recognition systems. -
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781118914564
ISBN:
9781118914557
Combining pattern classifiers = methods and algorithms /
Kuncheva, Ludmila I.1959-
Combining pattern classifiers
methods 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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Combining pattern classifiers
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[electronic resource] :
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methods and algorithms /
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Ludmila I. Kuncheva.
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2nd ed.
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Hoboken, New Jersey :
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John Wiley & Sons, Inc.,
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2014.
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1 online resource (xxi, 357 p.)
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Includes bibliographical references and index.
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"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
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"Classifier Combination is a field of growing interest within the very large area of Pattern Classification"--
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Provided by publisher.
588
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Online resource; title from digital title page (viewed on September 12, 2014).
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Pattern recognition systems.
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527885
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http://onlinelibrary.wiley.com/book/10.1002/9781118914564
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W9270750
電子資源
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電子書
EB TK7882.P3
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