Boosting: Foundations and Algorithms
(Part of the Adaptive Computation and Machine Learning Series)
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Book Overview
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...
Format:Paperback
Language:English
ISBN:0262526034
ISBN13:9780262526036
Release Date:January 2014
Publisher:MIT Press
Length:544 Pages
Weight:1.90 lbs.
Dimensions:0.9" x 7.2" x 8.9"
Age Range:18 years and up
Grade Range:Postsecondary and higher
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