Pattern Classification Using Ensemble Methods
| AUTHOR | Rokach, Lior; Lior Rokach; Rokach, Lior et al. |
| PUBLISHER | World Scientific Publishing Company (06/30/2010) |
| PRODUCT TYPE | Hardcover (Hardcover) |
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.
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Product Format
Product Details
ISBN-13:
9789814271066
ISBN-10:
9814271063
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
244
Carton Quantity:
30
Product Dimensions:
6.10 x 0.90 x 8.90 inches
Weight:
1.20 pound(s)
Feature Codes:
Bibliography,
Index,
Table of Contents,
Illustrated
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Data Science - Data Analytics
Computers | Machine Theory
Computers | Probability & Statistics - General
Dewey Decimal:
006.4
Descriptions, Reviews, Etc.
jacket front
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.
Show More
publisher marketing
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.
Show More
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