Question: Calculate P ( Y | x ) , that is P ( Y 1 , Y 2 | x 1 1 = T , x

Calculate P(Y|x), that is P(Y1,Y2|x11=T,x21=F,x12=T,x22=T). What is the MAPWe are given the following Bayesian network structure G.We are given the following Markov network structure, H.
a. Find a minimal I-Map Bayesian network structure G1 for H. Use the variable order
of A,B,C,D,E.
b. Find a minimal I-Map Bayesian network structure G2 for H. Use the variable order
of E,D,C,B,A.
c. Is G1 a P-Map for H? If not, which independencies are missing?
d. Is G2 a P-Map for H? If not, which independencies are missing?
a. Find a minimal I-Map Markov network structure H for G. Use any
method/variable order you like; make sure H is a minimal I-Map.
b. Is H a P-Map for G? If not, which independencies are missing?
assignment to Y given x? Show your work.
 Calculate P(Y|x), that is P(Y1,Y2|x11=T,x21=F,x12=T,x22=T). What is the MAPWe are given

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