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Consider the data with categorical predictor x1 = {green or red} and numerical predictor x2 and the class variable y shown in the following table. The weights for a round of boosting are also shown in the table. Suppose the classifier built from this round of boosting assigns y = 1 for x2 < 0.45 and y = -1 for x2 > 0.45. Compute the coefficient α for this classifier in the adaboost algorithm.
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every source is coherent source-justify it?
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design modulo 12 up synchronous counter using t flip flop
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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