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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)
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what can be different assignments given on this topic?
A museum has a collection of old posters advertising events of various kinds (theatre, sport, fairs, lectures etc.). It wishes to keep a record of these, containing, for each poste
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