Question: In the generative model px,! in Figure 10.2, assume the feature vector x consists of two parts, x = xg; xb , where

In the generative model p¹x,!º in Figure 10.2, assume the feature vector x consists of two parts, x =



xg; xb



, where xb denotes some missing components that cannot be observed for some reason.

Derive the optimal decision rule to use p¹xg, xb,!º to classify any input x based on its observed part xg only.

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