INTRO TO BAYESIAN REASONING LECTURE

Here's a quick one to make the files available online from today's AI lecture at RMIT University. Much thanks to Lawrence Cavedon for making it happen.

Downloads

1. Lecture Notes (PDF)
2. Course/grade/intelligence plate model example (Netica file)
3. Output from sneezing diagnosis class exercise (Netica file)
4. Burgular hidden markov model example (Netica file)
5. Same burgular HMM in Excel (XLS file)

Have fun and feel free to email me once you get your bayes-nets up and running!