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dc.contributor.authorVoelker, Meta
dc.contributor.authorFerris, Michael
dc.description.abstractWe show how to implement the cross-validation technique used in ma- chine learning as a slice model. We describe the formulation in terms of support vector machines and extend the GAMS/DEA interface to allow for e cient solu- tions of linear, mixed integer and simple quadratic slice models under GAMS.en
dc.subjectslice modelsen
dc.subjectsupport vector machinesen
dc.titleCross-Validation, Support Vector Machines and Slice Modelsen
dc.typeTechnical Reporten

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  • DMI Technical Reports
    DMI Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison

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