mirror of
https://git.FreeBSD.org/ports.git
synced 2024-12-14 03:10:47 +00:00
19 lines
990 B
Plaintext
19 lines
990 B
Plaintext
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].
|
|
|
|
WWW: http://svmlight.joachims.org/
|