SVMMaj: Implementation of the SVM-Maj Algorithm

Implements the SVM-Maj algorithm to train data with support vector machine as described in Groenen et al. (2008) <doi:10.1007/s11634-008-0020-9>. This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

Package details

AuthorHoksan Yip, Patrick J.F. Groenen, Georgi Nalbantov
MaintainerHok San Yip <[email protected]>
LicenseGPL-2
Version0.2.9
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SVMMaj")

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SVMMaj documentation built on Jan. 26, 2019, 5:04 p.m.