Boosting: Foundations and Algorithms


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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 algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, ...

Boosting: Foundations and Algorithms 2014, Mit Press, Cambridge

ISBN-13: 9780262526036

Trade paperback

Boosting: Foundations and Algorithms 2012, Mit Press, Cambridge

ISBN-13: 9780262017183