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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.
First-Order Logic We, as humans, have always prided ourselves on our ability to think things through for this reason things are out and come to the only conclusion possible in
The effect of tree supply on death rate depends upon a ratio comparing the number of trees that are actually available per person per year to the desired number of trees per pers
What are event and its types? An event is an occurrence at a point in time, like user depresses left button. Event happens instantaneously with regard to time scale. Type
Placement algorithm - computer architecture: Different strategies can be taken as to how space is allocated to processes: First fit : Allocate the first hole that is la
The most useful feature of an expert system is the high level expertise it provides to aid in problem solving. This expertise can represent the best thinking of the top
In a for loop, if the condition is missing, then, It is supposed to be present and taken to be true.
What are RDRAM? RDRAM are Rambus DRAM. Rambus needs specially designed memory chips. These chips use cell arrays based on the standard DRAM technology. Multiple banks of cell a
Q. Show the Hypothetical Instruction Format of 32 bits? A sample instruction format is shown in figure below. Figure: A Hypothetical Instruction Format of 32 bits
Can we include customizing include or an append structure with Pooled or Cluster tables? No.
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