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1. Intoduction to
Bayes Nets
2. Probabilistic Inference
& Sensitivity
3. Basic Decision Making
4. Sequential Decision
Making
5. Automatic Learning
of Probabilities
6. Using Equations
7. Node Relationships
8. Reports
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