Introduction to inference for Bayesian networks

摘要: The field of Bayesian networks, and graphical models in general, has grown enormously over the last few years, with theoretical computational developments many areas. As a consequence there is now fairly large set concepts results for newcomers to learn. This tutorial aims give an overview some these topics, which hopefully will provide such conceptual framework following more detailed advanced work. It begins revision basic axioms probability theory.