The following pattern classes have Gaussian probability functions:

w :{(1, 1)^T , (3, 1)^T , (3, 3)^T , (1,3)^T}  and

w :{(5, 5)^T , (7, 5)^T , (7, 7)^T , (5, 7)^T }

Assuming that ,P(w₁ ) P(w₂) = obtain the equation of the Bayes’ decision boundary between these two classes.

To obtain the Bayes' decision boundary between two classes with Gaussian probability functions, we can use the following steps. Given two classes w1 and w2 with Gaussian probability functions, we can represent the probability density functions (PDFs) of these _____ _______ _________ ________ _______.
____ __________ _________ __________ ________ _________ ___ _______ ________ ____ ______ _______.
____ ________ _________ __________ _________.
__________ ________ _________ _________ _____ __________.
___ ____ ________ _____ ______ __________ __________ ____ ________ _________ ___ ___.
_________ ____ ____ _____ ____ ______ ________ ___ _____ ________.
_______ ___ _______ _________ ______ ________ _______ __________.
____ _______ _______ ______ _____ ___ ______.
_________ _______ _________ _____ _____ _________ ___.
_____ __________ __________ _____ _____ ____.
___ _________ _____ ________ _________ _____ _______ _______ ______ ____ ______.
______ ___ _______ ______ _____ _____ __________ ________ __________ ___ ______ ________.
___ ________ _______ _______ _____.
____ _______ ______ ____ ______ _________ _____ ________.
________ __________ _______ _____ _________ _________ _____ ___ ________.
__________ ________ _________ _____ ______ ___ ______ ________ ________ _________.
____ ______ __________ ________ ___.
____ ___ ___ _______ ____ ___ ____ ________.
__________ ____ _________ _______ _________.
________ _________ _____ ___ ________ _____ ____.
Get Full Answer on WhatsApp