Exceedingly simple, comprehensive and nice tutorial. In fact, it could easily be used as a course companion. It goes though feature selection, various simple classifiers and plotting. Much weight is put on the dm inspired problems of how to pick features that give good prediction. Many strategies are provided, including learning features and learning optimal [...]
I went through the SVM sources on http://www.support-vector-machines.org/SVM_soft.html.
Name, source
latest
Win, Linux, Mac, language
Kernel support
Doc, tutorials
LIBSVM
0604, v. 2.82, widespread/mature
w+l: java + c++, python, gnuplot
linear, polynomial, radial basis function, and neural (tanh)
examples, introguide excellent. genral doc… well, hum?
java applets
linux, unix
examples,
YALE
0604, latest publication 2006
all, java
includes a full version of libsvm
tutorials, manual. guide on svm?
Recent comments