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 optimization, and information geometry. Boosting ...

Boosting: Foundations and Algorithms 2014, Mit Press, Cambridge

ISBN-13: 9780262526036

Trade paperback

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Boosting: Foundations and Algorithms 2012, Mit Press, Cambridge

ISBN-13: 9780262017183

Hardcover

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