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Boosting: Models, Applications and Extensions

Boosting: Models, Applications and Extensions Cover

 

Synopses & Reviews

Synopsis:

Written by the developers of the first practical boosting algorithm, AdaBoost, this reference covers the background, theory, and advances in the formula. The first part of the book provides a general background of the subject. It is followed by an outline of the theory of boosting and the extensions to the AdaBoost algorithm that have been made since its inception. Chapters cover the mathematical study of machine learning, analysis of AdaBoosta (TM)s training error, the generalization error, and game theory. The authors also discuss specific applications, such as bioinformatics and computer vision, and provide examples to explain topics and ensure understanding.

Product Details

ISBN:
9781439814154
Publisher:
CRC Press
Subject:
Statistics
Author:
Schapire, Robert
Author:
Freund, Yoav
Subject:
General
Subject:
Life Sciences - Biology - General
Subject:
Mathematics - Statistics
Publication Date:
20151231
Binding:
Hardcover
Language:
English
Pages:
288

Related Subjects

Business » General
Business » Management
Business » Writing
Computers and Internet » Computers Reference » General
Science and Mathematics » Biology » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Boosting: Models, Applications and Extensions
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Product details 288 pages CRC Press - English 9781439814154 Reviews:
"Synopsis" by , Written by the developers of the first practical boosting algorithm, AdaBoost, this reference covers the background, theory, and advances in the formula. The first part of the book provides a general background of the subject. It is followed by an outline of the theory of boosting and the extensions to the AdaBoost algorithm that have been made since its inception. Chapters cover the mathematical study of machine learning, analysis of AdaBoosta (TM)s training error, the generalization error, and game theory. The authors also discuss specific applications, such as bioinformatics and computer vision, and provide examples to explain topics and ensure understanding.
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