### 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?