Thanks to Al Mamunur Rashid for these links

<h3>  Lecture slides for March 3:</h3>
<ul>
<li>
<a href="http://courses.cs.tamu.edu/rgutier/cpsc689_f04/l21.pdf"
>lecture 21 from TAMU class</a>.
</ul>
<h3>  Lecture slides from TAMU:</h3>

<ul>
<li>
<a href="http://courses.cs.tamu.edu/rgutier/cpsc689_f04/"
   >http://courses.cs.tamu.edu/rgutier/cpsc689_f04/</a>
   <li>
   <a href="http://courses.cs.tamu.edu/rgutier/cpsc689_f04/l21.pdf"
   >lectures 21</a> and <a
   <a href="http://courses.cs.tamu.edu/rgutier/cpsc689_f04/l22.pdf"
   >22</a> are related to SVM
</ul>


<h3>  "Gentle Guide to Support Vector Machines"...</h3>


<ul>
<li>
<a href="http://vision.ai.uiuc.edu/mhyang/talk/svm-talk.pdf"
   >http://vision.ai.uiuc.edu/mhyang/talk/svm-talk.pdf</a>

</ul>

<h3>  A NICE set of tutorials from CMU...</h3>

<ul>
<li>
<a href="http://www-2.cs.cmu.edu/~awm/tutorials/index.html"
>http://www-2.cs.cmu.edu/~awm/tutorials/index.html</a>
<br>
However, the following two links just talk about SVMs:

<li>
<a href="http://www-2.cs.cmu.edu/~awm/tutorials/vcdim.html"
>http://www-2.cs.cmu.edu/~awm/tutorials/vcdim.html</a>
<li>
<a href="http://www-2.cs.cmu.edu/~awm/tutorials/svm.html"
>http://www-2.cs.cmu.edu/~awm/tutorials/svm.html</a>

</ul>

<h3>  A freely available SVM (both classification & regression) tool:</h3>


<ul>
<li>
<a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/"
   >http://www.csie.ntu.edu.tw/~cjlin/libsvm/</a>
<br>
   It's useful to consult their FAQ first, which is here:

<li>
<a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html"
   >http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html</a>

</ul>

<h3>(From DLB) Tutorials from Cristinanini</h3>
<ul>
<li>
<a href="http://www.support-vector.net/tutorial.html"
>http://www.support-vector.net/tutorial.html</a>

<li>
<a href="http://psb.stanford.edu/psb02/tut_kernel.html"
>http://psb.stanford.edu/psb02/tut_kernel.html</a>

</ul>