Implements the SVM-Maj algorithm to train data with support vector machine <doi:10.1007/s11634-008-0020-9>. This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.
Version: 0.2.9.3 Depends: R (≥ 2.13.0), stats, graphics, parallel Imports: reshape2, scales, gridExtra, dplyr, ggplot2, kernlab Suggests: utils, testthat, magrittr, xtable Published: 2024-11-22 DOI: 10.32614/CRAN.package.SVMMaj Author: Hoksan Yip [aut, cre], Patrick J.F. Groenen [aut], Georgi Nalbantov [aut] Maintainer: Hoksan Yip <hoksan at gmail.com> License: GPL-2 NeedsCompilation: no Materials: README CRAN checks: SVMMaj results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SVMMaj to link to this page.
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