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Pattern Classification Using Ense..(V75)
Contributor(s): Lior Rokach (Author)
ISBN: 9814271063     ISBN-13: 9789814271066
Publisher: World Scientific Publishing Company
OUR PRICE:   $96.90  
Product Type: Hardcover - Other Formats
Published: June 2010
Qty:
Annotation: Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications.

The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions of each method, it also explains the circumstances in which this method is applicable and the consequences and the trade-offs incurred by using the method.

Additional Information
BISAC Categories:
- Computers | Databases - Data Mining
- Computers | Machine Theory
- Mathematics | Probability & Statistics - General
Dewey: 006.4
Series: Series in Machine Perception and Artifical Intelligence
Physical Information: 0.9" H x 6.1" W x 8.9" (1.2 lbs) 244 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications.The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions of each method, it also explains the circumstances in which this method is applicable and the consequences and the trade-offs incurred by using the method.