Our paper accepted by 2006 Canadian AI Conference

Our paper “Learning Naïve Bayes Tree for Conditional Probability Estimation” by Han Liang and me is accepted by 2006 Canadian AI Conference. The accept rate is 22% with 220 submissions and 48 accepted papers. This is my first paper on Bayesian learning. Knowing a lot about symbolic modeling and reasoning, I am very interested by statistic models. Later, I want to integrate the two domains. Han is my master student and the first author of this paper. I am happy he can do this work and pursue his academic dream further.