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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)
Explain Busy tone in strowger telephony. Busy tone pattern is demonstrated in figure. This is a bursty 400 Hz signal with silence era in between. The burst and silence durati
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In a two stage network there are 512 inlets and outlets, r=s=24. If the probability that a given inlet is active is 0.8, calculate: Switching capacity Given: N =M =512, α
Explain an exceptional handling in java with the help of suitable example. Java exception handling is managed through five keywords: catch, try, throw, finally and throws. Th
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