lec10 - Suggested Reading Yoav Freund and Robert E....

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Lecture 10: Sasha Rakhlin Description We introduce bagging and boosting algorithms. We discuss the bias-variance tradeoff. The gradient descent view of boosting is introduced and a bound on the performance of Adaboost is proved.
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Unformatted text preview: Suggested Reading Yoav Freund and Robert E. Schapire. A short introduction to boosting. Journal of Japanese Society for Artificial Intelligence, 14(5):771-780, September, 1999 Other boosting review articles here...
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This note was uploaded on 11/11/2011 for the course BIO 9.07 taught by Professor Ruthrosenholtz during the Spring '04 term at MIT.

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