(a) The following pattern classes have Gaussian probability density functions. wi = { (0, 0)", (2.0)", (2, 2",(0, 2) "} and w2 = {(4, 4)", (6,4)", (6, 6)", (4, 6)"} (i) 1 Assuming that p(w;) = p(w2) 2 obtain the equation of the Bayes decision boundary between these two classes. (ii) Sketch the boundary.
(a) The following pattern classes have Gaussian probability density functions. wi = { (0, 0)", (2.0)", (2, 2",(0, 2) "} and w2 = {(4, 4)", (6,4)", (6, 6)", (4, 6)"} (i) 1 Assuming that p(w;) = p(w2) 2 obtain the equation of the Bayes decision boundary between these two classes. (ii) Sketch the boundary.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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