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Appropriate Problems for Decision Tree Learning - Artificial intelligence
It is a expert job in AI to select accurately the right learning representation for a particular learning job. As convoluted by Tom Mitchell, decision tree learning is best suited to problems with these characteristics:
In addition to that, decision tree learning is robust to mistakes in the data. In particular, it will act well in the light of (i) mistakes in the categorization occurrences given (ii) errors in the features-value pairs provided and (iii) missing values for fix features for fix examples.
The outcomes of analysis of Amdahl's law are: 1) To optimize the performance of parallel computers, modified compilers need to be developed which should aim to decrease the numb
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Question 1 Why is it important that an expert system be able to explain why and how questions related to a problem solving session. 2 Give the architecture of an Expert syst
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