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

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