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Perceptron / Margin classifier / Supervised learning / Decision boundary / Classifier / Machine learning / Multiclass classification / Decomposition method / Statistics / Statistical classification / Support vector machine


S.A. Solla, T.K. Leen and K.-R. M¨uller (eds.), 547–553, MIT Press[removed]Large Margin DAGs for
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Document Date: 2007-04-30 01:57:43

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City

Moscow / Springer Verlag / Cambridge / Wiley / /

Company

Neural Information Processing Systems / MIT Press / /

Country

Jordan / /

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Facility

Computer Science Royal Holloway College / University of London EGHAM / Engineering Mathematics University of Bristol Bristol / University of California / /

IndustryTerm

combination algorithm / supervised classification learning algorithms / power law / /

Organization

North Atlantic Treaty Organization / Engineering Mathematics University of Bristol Bristol / Computer Science Royal Holloway College / Stanford Department of Statistics / MIT / UK nello.cristianini@bristol.ac.uk John Shawe-Taylor Department / University of London EGHAM / University of California / Irvine / /

Person

John Shawe-Taylor / John C. Platt / Nello Cristianini / Max Wins / Neurocomputing / /

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ProvinceOrState

New York / California / Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

4 The DAGSVM algorithm / three algorithms / SVM-based algorithms / neural network / combination algorithm / SVM algorithms / 1-v-r multiclass SVM algorithm / Max Wins combination algorithm / DAGSVM algorithm / Max Wins algorithm / supervised classification learning algorithms / Machine Learning / Conclusions The DAGSVM algorithm / 1-v-r SVM algorithm / multiclass SVM algorithms / two algorithms / /

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