Index: head/science/libsvm/pkg-descr
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--- head/science/libsvm/pkg-descr	(revision 481986)
+++ head/science/libsvm/pkg-descr	(revision 481987)
@@ -1,27 +1,21 @@
 LIBSVM is an integrated software for support vector classification, (C-SVC,
 nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation
 (one-class SVM). It supports multi-class classification.
 
-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.
-
-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
-programs. Main features of LIBSVM include
+LIBSVM provides a simple interface where users can easily link it with their
+own programs. Main features of LIBSVM include
 
   * Different SVM formulations
   * Efficient multi-class classification
   * Cross validation for model selection
   * Probability estimates
   * Weighted SVM for unbalanced data
   * Both C++ and Java sources
   * GUI demonstrating SVM classification and regression
   * Python, R (also Splus), MATLAB, Perl, Ruby, Weka, Common LISP and LabVIEW
     interfaces. C# .NET code is available.
     It's also included in some learning environments: YALE and PCP.
   * Automatic model selection which can generate contour of cross valiation
     accuracy.
 
 WWW: http://www.csie.ntu.edu.tw/~cjlin/libsvm/