Package: wSVM
Title: Weighted SVM with boosting algorithm for improving accuracy
Version: 0.1-7
Date: 2010-10-03
Author: SungHwan Kim and Soo-Heang Eo
Maintainer: SungHwan Kim <swiss747@korea.ac.kr>
Description: We propose weighted SVM methods with penalization form. By
        adding weights to loss term, we can build up weighted SVM
        easily and examine classification algorithm properties under
        weighted SVM. Through comparing each of test error rates, we
        conclude that our Weighted SVM with boosting has predominant
        properties than the standard SVM have, as a whole.
License: GPL-2
Depends: R (>= 2.10.1), MASS, quadprog
LazyData: yes
LazyLoad: yes
Packaged: 2012-10-29 08:59:59 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:59:59
Built: R 3.1.0; ; 2013-12-05 16:43:35 UTC; unix
