Cross-Validation, Support Vector Machines and Slice Models
dc.contributor.author | Voelker, Meta | |
dc.contributor.author | Ferris, Michael | |
dc.date.accessioned | 2013-01-17T17:28:43Z | |
dc.date.available | 2013-01-17T17:28:43Z | |
dc.date.issued | 2001 | |
dc.identifier.citation | 01-07 | en |
dc.identifier.uri | http://digital.library.wisc.edu/1793/64304 | |
dc.description.abstract | We 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.subject | slice models | en |
dc.subject | support vector machines | en |
dc.subject | cross-validation | en |
dc.title | Cross-Validation, Support Vector Machines and Slice Models | en |
dc.type | Technical Report | en |
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DMI Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison