Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate 'real-world' applications it is destined to become essential reading.
Ludmila I. Kuncheva
Electrical & Electronics Engineering Elektrotechnik u. Elektronik Mustererkennung Pattern Analysis
The well written 'Combining Pattern Classifiers'.is all abouthow patterns are to be recognized and interpreted." (Journal ofStatistical Computation and Simulation, March 2006)
"In a clear and straightforward manner, the author provides amuch-needed road map through a multifaceted and often controversialsubject." (International Journal of General Systems,June 2005)
"The book is very interesting and is written on a highscientific level." (Mathematical Reviews, 2006c)
".a unique and perfect book for researchers and practitionerswho want to get a grasp of this new exciting area." (Journal ofIntelligent & Fuzzy Systems, Vol. 16, No. 2, 2005)
".a well-written and timely book, the first of its kind.awelcome contribution to pattern recognition.I would keep thisbook in my library." (Technometrics, November 2005)
".destined to become essential reading."(Zentralblatt MATH, Vol. 1066 (17), 2005)
()