![Boosting / Yoav Freund / Decision stump / Support vector machine / Statistical classification / Linear classifier / BrownBoost / Margin classifier / Machine learning / Ensemble learning / AdaBoost Boosting / Yoav Freund / Decision stump / Support vector machine / Statistical classification / Linear classifier / BrownBoost / Margin classifier / Machine learning / Ensemble learning / AdaBoost](https://www.pdfsearch.io/img/06cfe016ef897ab5a48fd0b7d820137c.jpg)
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City Florham Park / / Company E. Schapire AT&T Labs / Research Shannon Laboratory / Reuters / / Country United States / / / IndustryTerm base learning algorithm / decision-tree learning algorithm / weak learning algorithms / greedy search / weak learning algorithm / early boosting algorithms / online learning / maximum minimal margin algorithm / given learning algorithm / provable polynomial-time boosting algorithm / decision-tree algorithm / natural language processing / recent applications / learning algorithm / learning algorithms / earlier boosting algorithms / instead focus on finding weak learning algorithms / / MarketIndex UCI / / Organization Japanese Society / IDF / / Person Naoki Abe / Yoav Freund Robert / / Position learning-system designer / Singer / / ProvinceOrState New Jersey / / Technology learning algorithm / earlier boosting algorithms / two competing algorithms / 5 decision-tree learning algorithm / OCR / natural language processing / early boosting algorithms / weak learning algorithm / given learning algorithm / boosting algorithm / weak learning algorithms / AdaBoost The AdaBoost algorithm / base learning algorithm / maximum minimal margin algorithm / resulting learning algorithms / machine learning / previous boosting algorithms / decision-tree algorithm / AdaBoost algorithm / provable polynomial-time boosting algorithm / / URL www.research.att.com / /
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