Combining pattern classifiers methods and algorithms / Ludmila I. Kuncheva.

Author/creator Kuncheva, Ludmila I., 1959-
Format Electronic
EditionSecond edition.
Publication InfoHoboken, NJ : Wiley, 2014.
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Abstract "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"-- Provided by publisher.
Abstract "Classifier Combination is a field of growing interest within the very large area of Pattern Classification"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Kuncheva, Ludmila I. (Ludmila Ilieva), 1959- Combining pattern classifiers Second edition. Hoboken, NJ : Wiley, 2014 9781118315231
Genre/formElectronic books.
LCCN 2014016123
ISBN9781118914540 (ePub)
ISBN9781118914557 (Adobe PDF)

Availability

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Electronic Resources Access Content Online ✔ Available