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c) Rather than assuming features have variance one, set the variance parameters ofj, go; equal to the variance of the empirical distribution of the training
c) Rather than assuming features have variance one, set the variance parameters ofj, go; equal to the variance of the empirical distribution of the training data. Classify each test example using Equation (1) with these variance estimates. Report your classification accuracy, and the numbers of false alarms and missed detections
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