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Boosting: foundations and algorithms
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, conv...
| Autores principales: | , |
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| Lenguaje: | eng |
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MIT Press
2012
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| Acceso en línea: | http://cds.cern.ch/record/1461731 |