Support Vector Machines and Matlab

Does anyone understand Support Vector Machines, as I am trying to understand them to gain a greater understanding in the topic area.  I would appreciate if you could answer a few questions for me, based around a the Iris.arff data set which I have.  This contains 150 examples which the machine needs to be trained by to produce an SVM.  

Thanks
Ashley :-)
ashleycokerAsked:
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SethHoytCommented:
I don't know your background, but you might want to take a look at the tutorial links here:
http://www.kernel-machines.org/tutorial.html

This freeware implementation of an SVM may be of interest, and there's some tutorial links at the bottom of the page:
http://www.cs.cornell.edu/People/tj/svm_light/


Hope that helps,
Seth
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ashleycokerAuthor Commented:
I have a more specific question for you.  Hope you can answer soon.  How do I implement an SVM in Matlab for a non-separable case.  I need to apply the SVM to classify my data set, and give some measure of the performance of it.  

Once this is done, i need to consider using non-linear transformations that may better model my data set, then re-run the SVM and calculate how better it performs.  

Please help!!! I am prepared to give as many points as is necessary.  The data set I am using I can email to you, it is the Iris data set that explains three classes of the Iris plant.

Thanks
Ashley :-)
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