CS 195 - 5 : Machine Learning Problem Set 6
نویسنده
چکیده
For this problem we assume that the set of training examples {(xi, yi)} are drawn from two classes such that yi = ±1. For such two-class classifcation problems, the form of yihm(xi) is particularly simple; if an example is correctly classified, then yihm(xi) = 1. If an example is misclassified, then yihm(xi) = −1. As a result, Equation 3 can be decomposed as Zm = W (m−1) + e −αm + W (m−1) − e αm , (4)
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