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Davis King 2012-08-26 16:59:14 -04:00
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@ -592,6 +592,13 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
training algorithms, the number of support vectors grows approximately
linearly with the size of the training set).
</p>
<p>
However, if you are considering using svm_pegasos, you should also try the
<a href="#svm_c_linear_trainer">svm_c_linear_trainer</a> for linear
kernels or <a href="#svm_c_ekm_trainer">svm_c_ekm_trainer</a> for non-linear
kernels since these other trainers are, usually, faster and easier to use
than svm_pegasos.
</p>
</description>
<examples>