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Boosting: Foundations and Algorithms

Large book cover: Boosting: Foundations and Algorithms

Boosting: Foundations and Algorithms
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Publisher: The MIT Press
ISBN-13: 9780262310413
Number of pages: 544

Description:
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.

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