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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.
How the transaction that are programmed by the user can be protected? By executing an authority check.
Let's attempt to answer a fundamental question: 'How does the Computer execute a Program?' Let's describe this with the help of an example from higher level language domain. Pr
When we initialize the form at that time if we require to set any variable's value then we can set it by defining in constructor. Constructor's name always similar as class name an
Q. Catch output from child tasks? int pvm_catchout( FILE *ff ) Catch output from child tasks. ff is file descriptor on which we write collected output. The defau
Name various work processes of R/3 system? A) Dialog or Online (processes only one request at a time). B) Background (Started at a specific time) C) Update (primary or se
Determine the approaches to organizing stored program control There are 2 approaches to organizing stored program control: 1. Centralized: In this control, all control equi
Explain why pervasive computing can be termed as a “technology that disappears”
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Define the password methods and Biometric systems for implementing client server network security. In cyberspace, buyers and sellers cannot notice each other. Also within video
What is byte addressable memory? The assignment of successive addresses to successive byte locations in the memory is known as byte addressable memory.
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