Overview
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.
Synopsis
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.
Editorials
From the Publisher
The well written 'Combining Pattern Classifiers'…is all about how patterns are to be recognized and interpreted." (Journal of Statistical Computation and Simulation, March 2006)
"In a clear and straightforward manner, the author provides a much-needed road map through a multifaceted and often controversial subject…" (International Journal of General Systems, June 2005)
"The book is very interesting and is written on a high scientific level…" (Mathematical Reviews, 2006c)
"...a unique and perfect book for researchers and practitioners who want to get a grasp of this new exciting area." (Journal of Intelligent & Fuzzy Systems, Vol. 16, No. 2, 2005)
"...a well-written and timely book, the first of its kind...a welcome contribution to pattern recognition...I would keep this book in my library." (Technometrics, November 2005)
"…destined to become essential reading…" (Zentralblatt MATH, Vol. 1066 (17), 2005)