SVMMaj: SVMMaj algorithm

Implements the SVM-Maj algorithm to train data with Support Vector Machine, this algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

Version: 0.2-2
Depends: R (≥ 2.9.0), kernlab
Imports: graphics, stats, MASS, methods
Published: 2011-01-13
Author: Hoksan Yip, Patrick J.F. Groenen, Georgi Nalbantov
Maintainer: Hok San Yip <hoksan at>
License: GPL-2
NeedsCompilation: no
CRAN checks: SVMMaj results


Reference manual: SVMMaj.pdf
Package source: SVMMaj_0.2-2.tar.gz
MacOS X binary: SVMMaj_0.2-2.tgz
Windows binary: