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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 difference between macro call and macro expansion. Macro expansion: While a macro name is used along with a set of actual parameters this is replaced through a code g
Data logging This technique involves collecting data automatically using sensors; frequently used when doing scientific experiments or monitoring a system.
Explain the working of a demultiplexer with the help of an example. Ans: 1:4 Demultiplexer: Fig.(a) demonstrates the logic circuit of a 1:4 demultiplexer. This has two NOT
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What is the length of function code at user-command? Every menu function, push button, or function key has an associated function code of length FOUR (for example, FREE), which
what is anatomy of digital computer
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No, You cannot apply the link and Association interchangeably. Since link is used show the relationship among the two objects. But Association is used signify the relationship
What is the role of IR and PC? Instruction Register (IR) having the instruction being implemented. Its output is available to the control circuits, which make the timing signa
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