Combining pattern classifiers : methods and algorithms / Ludmila I. Kuncheva. [electronic resource] Kuncheva, Ludmila I. (Ludmila Ilieva), 1959- Pattern recognition systems. Image processing Digital techniques. TK7882.P3 006.4 23 Includes bibliographical references and index. Print version record and CIP data provided by publisher. "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. "Classifier Combination is a field of growing interest within the very large area of Pattern Classification"-- Provided by publisher. 2014 Text 1 online resource (xxi, 357 pages) http://onlinelibrary.wiley.com/book/10.1002/9781118914564 eng Combining pattern classifiers. Combining pattern classifiers.