Combining Pattern Classifiers: Methods and Algorithms Revised Edition Contributor(s): Kuncheva, Ludmila I. (Author) |
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ISBN: 1118315235 ISBN-13: 9781118315231 Publisher: Wiley OUR PRICE: $121.55 Product Type: Hardcover - Other Formats Published: September 2014 |
Additional Information |
BISAC Categories: - Technology & Engineering | Imaging Systems - Computers | Computer Vision & Pattern Recognition - Computers | Databases - Data Mining |
Dewey: 006.4 |
LCCN: 2014014214 |
Physical Information: 1.1" H x 6.2" W x 9.3" (1.65 lbs) 384 pages |
Descriptions, Reviews, Etc. |
Publisher Description: A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature selection, now in its second edition The art and science of combining pattern classifiers has flourished into a prolific discipline since the first edition of Combining Pattern Classifiers was published in 2004. Dr. Kuncheva has plucked from the rich landscape of recent classifier ensemble literature the topics, methods, and algorithms that will guide the reader toward a deeper understanding of the fundamentals, design, and applications of classifier ensemble methods. Thoroughly updated, with MATLAB(R) code and practice data sets throughout, Combining Pattern Classifiers includes:
With firm grounding in the fundamentals of pattern recognition, and featuring more than 140 illustrations, Combining Pattern Classifiers, Second Edition is a valuable reference for postgraduate students, researchers, and practitioners in computing and engineering. |