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Robust Support Vector Machine Training via Convex Outlier Ablation Linli Xu∗ Koby Crammer Dale Schuurmans
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Document Date: 2006-05-10 00:04:49


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City

Cambridge / /

Company

MIT Press / Weston / Cambridge U. Press / Baxter / /

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Facility

Alberta Ingenuity Centre / Delft University of Technology / University of Alberta / Convex Outlier Ablation Linli Xu∗ Koby Crammer Dale Schuurmans University / /

IndustryTerm

semidefinite solutions / vector networks / soft margin solution / inner products / data mining / outlier detection algorithm / boolean solutions / reasonable training algorithm / energy / polynomial time training algorithm / /

NaturalFeature

Alberta dale / /

Organization

Alberta Ingenuity Centre for Machine Learning / University of Pennsylvania / MIT / American Association for Artificial IntelliCopyright / University of Waterloo / Delft University of Technology / University of Alberta / /

Person

Van Horn / /

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Position

Singer / /

Product

Schur / SDPT3 / /

ProgrammingLanguage

R / /

ProvinceOrState

Alberta / Pennsylvania / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

outlier detection algorithm / Interior-Point Polynomial Algorithms / SVM algorithms / polynomial time training algorithm / SVM algorithm / data mining / ROD training algorithm / Machine Learning / SVM training algorithm / reasonable training algorithm / /

URL

www.aaai.org / /

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