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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

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The original answer is here courtesy Arun Iyer. The entire algorithm is then derived by setting i.e. Gamma(hat) to 1 That is not exactly true, although that’s certainly one way to think …
answered Jan 5 '17 by Sud K
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Would the Support Vectors in the SVM algorithm change every time that I change the functional margin ? The optimization objective in the SVM algorithm is this - The rest of the SVM optimization alg …
asked Jan 4 '17 by Sud K