Cross-Validation, Support Vector Machines and Slice Models

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dc.contributor.authorVoelker, Meta
dc.contributor.authorFerris, Michael
dc.date.accessioned2013-01-17T17:28:43Z
dc.date.available2013-01-17T17:28:43Z
dc.date.issued2001
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.identifier.citation01-07en
dc.identifier.urihttp://digital.library.wisc.edu/1793/64304
dc.subjectslice modelsen
dc.subjectsupport vector machinesen
dc.subjectcross-validationen
dc.titleCross-Validation, Support Vector Machines and Slice Modelsen
dc.typeTechnical Reporten

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