Login

Kuncheva, Ludmila I.

Combining Pattern Classifiers: Methods and Algorithms

Kuncheva, Ludmila I. - Combining Pattern Classifiers: Methods and Algorithms, ebook

109,35€

Ebook, ePUB with Adobe DRM
ISBN: 9781118914540
DRM Restrictions

Printing115 pages with an additional page accrued every 7 hours, capped at 115 pages
Copy to clipboard5 excerpts

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.

Keywords: Pattern Analysis, Pattern recognition, pattern classification, combined classifiers, mail sorting, face recognition, signature verification, brain fMRI images, gene microarray data, consumer preferences

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
2
Page amount
384 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (ePUB)
9781118914540
Printed ISBN
9781118315231

Similar titles