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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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Explain the term Confidentiality - Firewall Design Policy Whilst some corporate data is for public consumption, the vast majority of it should remain private.
What is a multitape TM? A multi-tape Turing machine having of a finite control with k-tape heads and k-tapes each tape is infinite in both directions. On a one mov
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Explain software process model in brief.
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Write a short notes on transition from IPv4 to IPv6
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