1:Derive the Bayesian Risk 2: Consider two sets of data samples drawn from two classes, where these classes are characterized by two Gaussian distributions sharing equal means but with different variances: (In the image down) Your task is to find the Bayes' decision rule, also known as the Maximum-APosteriori (MAP) rule, for making optimal decisions based on these probability distributions.

1:Derive the Bayesian Risk 2: Consider two sets of data samples drawn from two classes, where these classes are characterized by two Gaussian distributions sharing equal means but with different variances: (In the image down) Your task is to find the Bayes' decision rule, also known as the Maximum-APosteriori (MAP) rule, for making optimal decisions based on these probability distributions.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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