Assignments

• Independence, conditionnal independence and Bayes network : [ Homework , Assignment ]
• Bayes ball, variable elimination and junction tree algorithms, undirected and directed models, clique trees and I-Maps : [ Homework , Assignment ]
• Likelihood weighting, Markov chain, Gibbs sampling, parameter estimation in Bayes nets, maximum likelihood estimation and learning Bayes net structure : [ Homework , Assignment ]
• Expectation Maximization (EM), Hidden Markov Models (HMM) : [ Homework , Assignment ]
• Expected Utility, Markov Decision Problem, Optimal policies, Action-values, Reinforcement learning, Exploration: [ Homework , Assignment ]

Programming Assignments : Junction Tree Algorithm and Approximate Inference methods

(Likelihood weighting and Gibbs sampling)

• Group : Jérémie Juban
• Subject : [ PDF ]