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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.
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Q. Illustrate Arithmetic shifts with example? Arithmetic shifts ARITHMETIC SHIFT LEFT and ARITHMETIC SHIFT RIGHT are same as LOGICAL SHIFT LEFT and LOGICAL SHIFT RIGHTexcept th
Complete Binary tree A complete binary tree can be described as a binary tree whose non leaf nodes have nonempty left and right sub tree and all leaves are at the similar level
Which scheduling policy is most suitable for a time-shared operating system? Ans. Round-Robin scheduling policy is most appropriate for a time-shared operating system.
Differences between Datagrid, Datalist and Repeater? 1. Datagrid has paging while Datalist doesnt. 2. Datalist has a property known as repeat. Direction = vertical/horizon
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Applications Of Parallel Processing Parallel computing is an development of serial computing that effort to emulate what has always been the affirm of affairs in the natural wo
What is Digitizers A common device for drawing, painting, or interactively selecting coordinate positions on an object is a digitizer. These devices can be used to input coordi
Variable ordering - Forward checking: Hence this is different from variable ordering in two important ways as: Whether this is a dead end when we will end up visiting a
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