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Boosting foundations and algorithms

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, conv...

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Bibliographic Details
Main Authors:	Schapire, Robert E. (Author), Freund, Yoav (Author)
Format:	Book
Language:	English
Published:	Cambridge, MA. MIT Press 2014
Series:	Adaptive computation and machine learning
Subjects:	Boosting (Algorithms) Supervised learning (Machine learning)
Tags:	Add Tag No Tags, Be the first to tag this record!

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