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| author | Rong-En Fan <rafan@FreeBSD.org> | 2010-04-05 10:24:25 +0000 |
|---|---|---|
| committer | Rong-En Fan <rafan@FreeBSD.org> | 2010-04-05 10:24:25 +0000 |
| commit | 28dab58bbc8796c367e1018ff4bb05bfd12cade2 (patch) | |
| tree | 3c9848e8e8198f41c34c5f7f47ee27f7b4400bba /science/libsvm/pkg-descr | |
| parent | 2d2aab594d0c53ca9b683b8916ee8b72d43d8427 (diff) | |
| download | ports-28dab58bbc8796c367e1018ff4bb05bfd12cade2.tar.gz ports-28dab58bbc8796c367e1018ff4bb05bfd12cade2.zip | |
Notes
Diffstat (limited to 'science/libsvm/pkg-descr')
| -rw-r--r-- | science/libsvm/pkg-descr | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/science/libsvm/pkg-descr b/science/libsvm/pkg-descr index 72d16dab601e..c6b9e450b46a 100644 --- a/science/libsvm/pkg-descr +++ b/science/libsvm/pkg-descr @@ -5,7 +5,7 @@ nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation Since version 2.8, it implements an SMO-type algorithm proposed in this paper: R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, -1889-1918, 2005. You can also find a pseudo code there. (how to cite LIBSVM) +1889-1918, 2005. You can also find a pseudo code there. Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own |