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Combining pattern classifiers DUP_1 ...
~
Kuncheva, Ludmila I. (1959-)
Combining pattern classifiers DUP_1 = methods and algorithms /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Combining pattern classifiers DUP_1/ 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 DUP_1 = methods and algorithms /
Kuncheva, Ludmila I.1959-
Combining pattern classifiers DUP_1
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:
557384
Pattern recognition systems.
LC Class. No.: TK7882.P3 / K83 2014
Dewey Class. No.: 006.4
Combining pattern classifiers DUP_1 = methods and algorithms /
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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"--
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"Classifier Combination is a field of growing interest within the very large area of Pattern Classification"--
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http://onlinelibrary.wiley.com/book/10.1002/9781118914564
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