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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.
Q. What is the Future of Hyper threading? Current Pentium 4 based MPUs employ Hyper-threading however next-generation cores, Conroe, Merom and Woodcrest will not. As some have
The LOOP-ENDLOOP on extract datasets can be used without any kind of errors False. It causes runtime errors.
4) A positive integer is entered through the keyboard;write a function to find the binary equivalent of this number using recursion.
Types Of Classification The following classification of parallel computers have been recognized: 1) Categorization based on the data streams and instruction 2)
Q. Explain Keyboard Input and Video output ? A Keystroke read from keyboard is termed as a console input and a character displayed on the video screen is known as a console out
drawbacks of shadow paging
What is critical section problem? Consider a system having of 'n' processes. Each process has segment of code known as a critical section, in which the process may be changing
how many errors will be left after defect amplification and removal method on the following data design=40 analysis=30 maintenance=20 testing 35 coding 25 take 75% removal efficie
The extra key inserted at the end of the array is called a Sentinel is the extra key inserted at the end of the array
Shared executes most of the security features into OLAP. If multiple accesses are needed admin can make essential changes. The default security level for all OLAP products is read
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