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Diffstat (limited to 'science/svmlight/pkg-descr')
| -rw-r--r-- | science/svmlight/pkg-descr | 16 |
1 files changed, 0 insertions, 16 deletions
diff --git a/science/svmlight/pkg-descr b/science/svmlight/pkg-descr deleted file mode 100644 index 7aeca2e7acde..000000000000 --- a/science/svmlight/pkg-descr +++ /dev/null @@ -1,16 +0,0 @@ -SVMlight is an implementation of Vapnik's Support Vector Machine -[Vapnik, 1995] for the problem of pattern recognition, for the problem -of regression, and for the problem of learning a ranking function. The -optimization algorithms used in SVMlight are described in [Joachims, -2002a ]. [Joachims, 1999a]. The algorithm has scalable memory -requirements and can handle problems with many thousands of support -vectors efficiently. - -The software also provides methods for assessing the generalization -performance efficiently. It includes two efficient estimation methods -for both error rate and precision/recall. XiAlpha-estimates [Joachims, -2002a, Joachims, 2000b] can be computed at essentially no -computational expense, but they are conservatively biased. Almost -unbiased estimates provides leave-one-out testing. SVMlight exploits -that the results of most leave-one-outs (often more than 99%) are -predetermined and need not be computed [Joachims, 2002a]. |