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Assessing Heuristic Searches:
Given a particular problem you want to build an agent to solve, so there may be more than one way of justifying it as a search problem, more than one choice for the search strategy and altered possibilities for heuristic measures. For a large extent, it is very tough to predict what the best choices will be, so then it will needs some experimentation to determine them. In some such cases, - If we calculate the effective branching rate, as given below to described - we can tell for sure if one heuristic measure is always being out-performed by another.
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A data set with 1000 rows is input to a neural network in Weka. The test option is set to 10-fold cross validation and the neural network option validationSetSize = 20%. How many r
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write a program that counts the number of occurrences of the string in the n-th Padovan string P(n)
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