In this Wikipedia article about SVM there are a number of links to different implementations of MATLAB toolboxes for Support Vector Machines. Could anyone suggest which of these is best in terms of speed, ease of use, etc.?
Best MATLAB toolbox that implements Support Vector Regression? [closed]
This doesn't answer your question directly, but if you want to speed up an M script look into the embedded matlab toolbox and MEX functions. Basically, you can use these tools to compile your M scripts, I've done it and I get an order of magnitude performance gain minimum. The people at the MW say you can get 100 fold improvement.
You can always use MathWorks implementation of SVM in the Bioinformatics Toolbox with the functions: svmtrain and svmclassify, which as usual have excellent documentation