Bayesian and SVM Machine Learning

The implementations of Bayes nets and Support Vector Machines currently used by Sleipnir are:

• GeNIe and SMILE
• SVMLight

The Wikipedia overviews are a little math-heavy, but passable:

• http://en.wikipedia.org/wiki/Bayesian_networks
• http://en.wikipedia.org/wiki/Naive_Bayesian_classifier
• http://en.wikipedia.org/wiki/Support_vector_machine

And some more in-depth tutorials are at:

• http://people.cs.ubc.ca/~murphyk/Bayes/bnintro.html
• http://research.microsoft.com/apps/pubs/default.aspx?id=69588
• http://www.kernel-machines.org/tutorials

If you want to back up a step and get an overview of machine learning in general, the canonical introductory text is by Russel and Norvig. There are also some decent, although not great, overviews online:

• http://www.dsl-lab.org/ml_tutorial_old/index.html
• http://www.autonlab.org/tutorials/
• http://www.aaai.org/AITopics/pmwiki/pmwiki.php/AITopics/MachineLearning