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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)
Q. Returns and Procedures definitions in 8086? 8086 microprocessor supports RET and CALL instructions for procedure call. CALL instruction not only branches to indicate address
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Let's attempt to answer a fundamental question: 'How does the Computer execute a Program?' Let's describe this with the help of an example from higher level language domain. Pr
Microsoft in the late 1997 introduced a standard API called as OLE DB. After which XML was used for analysis specification and this specification was largely used by a lot of vendo
Problems on michelsons interferométer
Question: (a) Explain the three categories of design patterns. Give two examples from each category. (b) When describing a pattern what is the purpose of "The Intent", an
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