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Boosting

Foundations and Algorithms

Boosting( )
Author: Schapire, Robert E.
Freund, Yoav
Series title:Adaptive Computation and Machine Learning Ser.
ISBN:978-0-262-52603-6
Publication Date:Jan 2014
Publisher:MIT Press
Book Format:Paperback
List Price:USD $50.00
Book Description:

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex...
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Book Details
Pages:544
Detailed Subjects: Computers / Data Science / Machine Learning
Mathematics / Algebra / General
Physical Dimensions (W X L X H):7 x 9 x 1.03 Inches
Book Weight:1.894 Pounds



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