Question: The one - dimensional class - conditional feature pdfs for a 2 - category classification problem have triangular shapes: p ( x | omega

The one-dimensional class-conditional feature pdfs for a 2-category classification problem have
triangular shapes: p(x|\omega 1)=1 x/2 for 0< x <2 and zero elsewhere; p(x|\omega 2)=(x 1)/2 for
1< x <3 and zero elsewhere.
a) Derive the Bayes classifier, assuming equal a priori probabilities.
b) Find the location of the decision boundary

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