中图分类法:	TP391.4 版次：
著者:	Kuncheva, Ludmila I.
题名:	Combining pattern classifiers : [ methods and algorithms /] / ,
版次:	2nd edition.
出版发行:	出版地： Hoboken, NJ : 出版社： Wiley, 出版日期： 2014.
载体形态:	xxi, 357 pages : illustrations (black and white) ; 25 cm
附注:	Includes index.
内容提要:	"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"--
内容提要:	"Classifier Combination is a field of growing interest within the very large area of Pattern Classification"--
主题词:	Pattern recognition systems.
主题词:	Image processing Digital techniques.
主题词:	TECHNOLOGY & ENGINEERING / Imaging Systems.
主题词:	COMPUTERS / Computer Vision & Pattern Recognition.
主题词:	COMPUTERS / Database Management / Data Mining.