Directed Readings in Bayesian Methodologies

3 credits

Students should understand basic principles of Bayesian networks, including representation (Bayesian and Markov networks) and inference (variable elimination and join tree propagation). A comprehensive project, including a functioning system and extending the field in a new direction, is required.