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Neural architectures are appealing as mechanisms for implementing intelligence for a number of reasons. Traditional AI programs tend to be brittle and overly sensitive to noise rather than degrading gracefully such programs tend to either be right or fail completely. Neural architectures because they capture knowledge in a large number of fine grained units. Seem to have more potential for partially matching noisy and incomplete data. Neural architectures are also more robust because knowledge is distributed somewhat uniformly around the network.
What is pipelining? What are the various hazards encountered in pipelining? Explain in detail. The major characteristics of a pipeline are: a) Pipelining cannot be exe
what is the minimum number of page faults for an optimal page replacement strategy?
Question 1 Give a brief explanation on message oriented middleware Question 2 Describe Distributed object model Question 3 Explain File systems in a distributed computing Env
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Define the concept of Inheritance Inheritance is property of reusing the code within the object oriented development. While modelling, we look at the all the classes, and try
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