Given x 2 Rn and y 2 f0, 1g, assume Pry = k = k > 0
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Given x 2 Rn and y 2 f0, 1g, assume Pr¹y = kº = k > 0 for k = 0, 1 with ¹0 + 1 = 1º, and the conditional distribution of x given y is p¹x j yº = N¹x j y, yº, where 0, 1 2 Rn are two mean vectors (with 0 , 1), and 0, 1 2 Rdd are two covariance matrices.
a. What is the unconditional density of x (i.e., p¹xº)?
b. Assume that 0 = 1 = is a positive definite matrix. Derive the MAP decision rule. What is the nature of the separation boundary between two classes? Show the procedure.
c. Assume that 0 , 1 are two positive-definite matrices. Derive the MAP decision rule. What is the nature of the separation boundary between two classes? Show the procedure.
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Machine Learning Fundamentals A Concise Introduction
ISBN: 9781108940023
1st Edition
Authors: Hui Jiang
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