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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)
Which method do you invoke on the DataAdapter control to load your generated dataset with data? DataAdapter.Fill(ds). The beauty of this method is it automatically implicitly
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Truth table of NAND and NOR can be made from NOT (A AND B) and NOT (A OR B) correspondingly. Exclusive OR (XOR) is a special gate whose output is one only if two inputs aren't equa
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