I've been trying to get some learning algorithms implemented on my current data.
I started using SVM (light) and have just realised that the classifier works for just binary classification, i.e. max 2 classes! So, I needed to find a solution, and I didn't have to look too far (Well, at least I hope it provides the solution as I haven't implemented the classifier just yet.) SVM (Multiclass) by the same author of the light version, Thorsten Joachims is an implementation of the multi-class Support Vector Machine (SVM) described in:
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines, Koby Crammer and Yoram Singer (Journal of Machine Learning Research), 2001.
SVM Multiclass can be found here.
SVM Light can be found here.
Koby Crammer's home site is here.
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