This project would have been impossible without the information and technical tools available at the following websites.
References on Inference in Bayesian Networks
- Bayes Net Toolbox
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Matlab code for the easy creation of Bayesian networks.
- DELVE
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The DELVE project, which seeks to fairly evaluate machine learning techniques and includes a thorough collection of test data.
- Bayesian Network Repository
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A collection of data for use with Bayesian networks, with complete prior probability distributions. The purpose of the repository is similar to DELVE, but has a strong Bayesian slant.
- Bayesian Network Tutorial
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An article explaining the basics of Bayesian networks, how they are trained, and what they are useful for.
By David Heckerman - Learning Bayesian Networks
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Another article detailing learning techniques in Bayesian nets, focused on assessing prior probabilies accurately.
By David Heckerman, Dan Geiger, and David Maxwell Chickering