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1. A Bayesian network is shown for the variables paper Thickness, paper Alignment and Print Quality. The conditional probabilities are provided in the tables beside the nodes. Here, Thickness = {high or low}, Alignment = {straight or angled}, and Print Quality = {good or bad}.
Calculate the following quantities from the information in the Bayesian network.
a) P(Alignment = straight)
b) P(Alignment = straight | Print Quality = good)
duality
Q. Explain XNOR gate with three input variable and draw necessary circuits. Q. Simplify FOLLOWING Using K-Map 1. m0 + m1 + m6 + m7 + m12 + m13 + m8 + m9 2. m0 + m2 + m4 +
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