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Artificial intelligence / AdaBoost / Boosting / Statistical hypothesis testing / Kullback–Leibler divergence / BrownBoost / CoBoosting / Statistics / Ensemble learning / Learning


Journal of Computer and System Sciences  SS1504 journal of computer and system sciences 55, 119article no. SS971504 A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting*
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Document Date: 2006-03-20 11:20:43


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File Size: 627,25 KB

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Barcelona / Florham Park / /

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Robert E. Schapire AT6T Labs / /

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USD / /

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well-studied on-line prediction model / worst-case on-line framework / on-line allocation model / generic weak learning algorithm / weak learning algorithms / adaptive boosting algorithm / weak learning algorithm / boost-by-majority algorithm / neural networks / real-valued neural network / weighted majority algorithm / boost-bymajority algorithm / prediction algorithms / on-line allocation algorithm / multiplicative weight-update algorithms / on-line allocation problem / learning algorithm / given weak learning algorithm / learning algorithms / /

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US Federal Reserve / /

Person

Yoav Freund / /

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New Jersey / /

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given weak learning algorithm / learning algorithm / weak PAC-learning algorithm / boost-bymajority algorithm / adaptive boosting algorithm / known boosting algorithms / neural network / weak learning algorithm / weighted majority algorithm / on-line allocation algorithm / multiplicative weight-update algorithms / boosting algorithm / generic weak learning algorithm / boost-by-majority algorithm / weak learning algorithms / PAC-learning algorithm / 1 N. The algorithm / previous boosting algorithms / 126 FREUND AND SCHAPIRE Algorithm / prediction algorithms / two algorithms / resulting learning algorithm / /

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