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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.
INFORMATION DISTRIBUTION: The organization and management of any institution, be it an isolated lab or a large site with many labs, requires that information is managed. Methods o
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
Not at this time. With GIMP based on GEGL, so that all changes are non-destructive, it will be much easier to execute this feature by just remembering all nodes in given range and
A Header in CGI document can represent? A header into CGI document can show format of the document and the location if document used to various URL.
Disadvantages of macro processor
The syntax of the assembler directive EQU is ? Ans. The syntax of the assembler directive EQU is as given below: EQU
Explain the action of an interrupt processing routine? Action of an interrupt processing routine is as follows : 1. Save contents of registers of CPU. This action is not e
Explain about the passive graphics device A passive graphics device simply draws pictures under computer control; i.e. it allows the computer to communicate graphically with th
Directed-Test Methodology Building a directed verification environment with a comprehensive set of directed tests is very time-consuming and difficult. As directed tests only c
1. A Bayesian network is shown for the variables paper Thickness, paper Alignment and Print Quality. The conditional probabilities are provided in the tables beside the nodes. Here
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