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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 with the help of examples FIFO algorithms? FIFO policy: This policy easy removes pages in the order they arrived into the main memory. By using this policy we easily
When calling an external report the parameters or select-options specified in the external report cannot be called.
Sir/Mam, I want to know the application of Theory of computation in DBMS
The search-based tools initially identify the problem and after that appropriately give advice on how to correct it. AT Expert from Cray Research is one of the tools being used
Q. Explain Processing of an Interrupt? The interrupt is processed as: Step 1: Number field in INT instruction is multiplied by 4 to get its entry in interrupt vector table.
how can we find compound interest through flowchart
Consider the following pseudo-code segment. 1. input y {y is a three-digit hexadecimal number} 2. d ← 0 3. for i = 1 to 3 3.1. char ← i th character from y readin
As an advocate of CISC architecture to RISC architecture, what are the merits and demerits of CISC to RISC architecture
Data Dependency: It refers to the state in which two or more instructions split same data. The instructions in a program can be given based on the relationship of data dependency
Pascaline:Mechanical computers Blaise Pascal made the initial attempt in the direction of this automatic computing. He invented a apparatus, which comprised of lots of gears an
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