Reading Questions for Lecture 5
Probability (Appendix A) and Bayesian Learning (Ch. 3.1, 3.2, 3.7, 3.9)
- (Herman) How is the "evidence" of a given variable or item computed (e.g., P(W) for probability of wet grass)? (See p. 49 in Alpaydin)
- (Sam) How can non-binary variables be modeled in a Bayesian Network?
- (Sassja) Would it be useful to simulate a Bayesian network with a neural network?