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Learning / Co-training / Supervised learning / Statistical classification / Semi-supervised learning / Classifier / Support vector machine / Binary classification / Empirical risk minimization / Machine learning / Statistics / Artificial intelligence


Learning from Multiple Partially Observed Views – an Application to Multilingual Text Categorization Massih R. Amini Interactive Language Technologies Group National Research Council Canada
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Document Date: 2009-11-19 11:18:02

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City

New York / /

Company

Neural Information Processing Systems / Reuters / McGraw-Hill / Marie Curie / /

Country

France / /

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Event

Company Listing Change / /

IndustryTerm

multi-view self-learning algorithm / iterative co-training algorithm / iterative process self-learning multiple-view algorithm / self-learning multiple-view algorithm / Web-page / /

Organization

Nuclear Regulatory Commission / Multilingual Text Categorization Massih R. Amini Interactive Language Technologies Group National Research Council Canada / /

Person

F. Li / D. D. Lewis / T. Rose / Y. Yang / Nicolas Usunier Laboratoire / /

Product

RCV1/RCV2 / /

ProgrammingLanguage

D / C / /

ProvinceOrState

New York / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

machine translation system / Machine Translation / Data Mining / iterative co-training algorithm / Machine Learning / France Massih-Reza.Amini@cnrc-nrc.gc.ca Nicolas.Usunier@lip6.fr Cyril Goutte Interactive Language Technologies / multi-view self-learning algorithm / /

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http /

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