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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...
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Lenguaje: | eng |
Publicado: |
MIT Press
2012
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Acceso en línea: | http://cds.cern.ch/record/1461731 |
_version_ | 1780925288767553536 |
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author | Schapire, Robert E Freund, Yoav |
author_facet | Schapire, Robert E Freund, Yoav |
author_sort | Schapire, Robert E |
collection | CERN |
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. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. |
id | cern-1461731 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | MIT Press |
record_format | invenio |
spelling | cern-14617312021-04-22T00:25:59Zhttp://cds.cern.ch/record/1461731engSchapire, Robert EFreund, YoavBoosting: foundations and algorithmsComputing and ComputersBoosting 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. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical.MIT Pressoai:cds.cern.ch:14617312012 |
spellingShingle | Computing and Computers Schapire, Robert E Freund, Yoav Boosting: foundations and algorithms |
title | Boosting: foundations and algorithms |
title_full | Boosting: foundations and algorithms |
title_fullStr | Boosting: foundations and algorithms |
title_full_unstemmed | Boosting: foundations and algorithms |
title_short | Boosting: foundations and algorithms |
title_sort | boosting: foundations and algorithms |
topic | Computing and Computers |
url | http://cds.cern.ch/record/1461731 |
work_keys_str_mv | AT schapireroberte boostingfoundationsandalgorithms AT freundyoav boostingfoundationsandalgorithms |