Template-Type: ReDIF-Paper 1.0
Author-Name: Groenen, P.J.F.
Author-Name-Last: Groenen
Author-Name-First: Patrick
Author-Person: pgr229
Author-Name: Bioch, J.C.
Author-Name-Last: Bioch
Author-Name-First: Cor
Author-Name: Nalbantov, G.I.
Author-Name-Last: Nalbantov
Author-Name-First: Georgi
Title: Nonlinear support vector machines through iterative majorization and I-splines
Abstract: To minimize the primal support vector machine (SVM) problem, we propose to use iterative majorization. To do so, we propose to use it- erative majorization. To allow for nonlinearity of the predictors, we use (non)monotone spline transformations. An advantage over the usual ker- nel approach in the dual problem is that the variables can be easily inter- preted. We illustrate this with an example from the literature.
Creation-Date: 2006-07-19
File-URL: https://repub.eur.nl/pub/7889/ei2006-25.pdf
File-Format: application/pdf
Series: RePEc:ems:eureir
Number: EI 2006-25
Keywords: I-Splines, iterative majorization, support vector machines
Handle: RePEc:ems:eureir:7889