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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.
A* Search - artificial intelligence: A* search in the combines is the best parts of uniform cost search, namely the fact that it's optimal and complete, and the other best par
While using FTP what is wildcard expansion in file names? To make this easy for users to identify a set of file names, FTP permits a remote computer system to perform usual fil
Q. Concurrently read exclusively write? It's one of the models based on PRAM. In this model, processors access the memory location simultaneously for reading whereas exclusivel
Explain software process model in brief.
raster scan and random display technology
Reduce the following equation using k-map Y = BC‾D‾ + A‾BC‾D + ABC‾D + A‾BCD + ABCD Ans. Multiplying the first term with (A+A') Y = A'BC'D' + ABC'D' + A'BC'D + ABC'D + A'BCD + A
explain different type of sparse matrix
Artificial intelligence ("AI") can mean a lot of things too many people. Much confusion arises that the word 'intelligence' is ill-defined. The phrase is so broad that people have
Th e ID3 algorithm The calculation for information gain is the very difficult phase of this algorithm. ID3 performs a search whereby the search states are decision trees an
Q. Define COM Programs? A COM (Command) program is binary image of a machine language program. It is loaded in memory at the lowest available segment address. Program code star
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