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Bayesian statistics / Naive Bayes classifier / Calibration / Support vector machine / Classifier / Random subspace method / Boosting methods for object categorization / Statistics / Statistical classification / Machine learning


Building Reliable Metaclassifiers for Text Learning Paul N. Bennett May 2006 CMU-CS
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Document Date: 2006-05-18 19:34:23

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File Size: 2,64 MB

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Company

SRI International / Microsoft / /

Country

United States / /

Facility

Computer Science Computer Science Department Carnegie Mellon University / Building Reliable Metaclassifiers / /

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online-learning classifier combination algorithms / classification algorithms / data-mining / online setting / /

Organization

Thesis Committee / Defense Advanced Research Agency / National Imagery & Mapping Agency / National Science Foundation / U.S. government / CMU-CS-06-121 School of Computer Science Computer Science Department Carnegie Mellon University Pittsburgh / /

Person

Kevyn Collins-Thompson / Tina / Tom Mitchell Susan Dumais / Eric Horvitz / Ron Richards / Ray Mooney / Paul N. Bennett / Bob Causey / Francisco Pereira / John Lafferty / Jaime Carbonell / Tom Mitchell / Sue Dumais / /

Position

author / Chair / Co-chair / /

ProvinceOrState

Pennsylvania / /

Technology

classification algorithms / machine learning / online-learning classifier combination algorithms / /

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