Assume you want to estimate the conditional probability distribu-tion P(YiXi, X2) directly, without making the naive Bayes assumption. How many parameters would you need to estimate from data?
Problem 1: Naive Bayes Classifiers (20 pts) Consider the binary classification problem where class label Y E {0, 1} and each training example X has 2 binary attributes X = [X1, X2] E {0,1}2. Assume that class priors are given P(Y = 0) = P(Y = 1) = 0.5, and that the conditional probabilities P(X1 […]
