Assume the Alarm network from Lecture 16 that is shown in the figure bellow. P(B) P(E) T F T F Burglary 0.001 0.999 Earthquake 0.002 0.998 P(A|B,E) BE T F T T 0.95 0.05 Alarm T F 0.94 0.06 FT 0.29 0.71 FF 0.001 0.999 P(JIA) AT F P(MIA) AT F JohnCalls T 0.90 0.1 MaryCalls T 0.7 0.3 F 0.05 0.95 F 0.01 0.99 Part a. Express the joint probability P(E = F, B = F, A = F, J = T, M = F) in terms of local conditional probabilities defining the Bayesian belief network. Part b. Calculate the probability P(E = F, B = F, A = F, J = T, M local conditional probabilities to numbers. = F) by substituting the