I have been looking into Bayesian Networks but I keep getting hung up on a simple dependence in most example problems which is how are the values in the conditional probability tables on the child node calculated? More specifically in the linked figure how are the values in the table for G calculated? It seems like these values would be dependent on I and D but it is not obvious to me. BTW I am fairly rusty on probability theory.
2026-03-27 15:07:39.1774624059
Bayes Net. How are the values P(G | D,I) calculated?
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