ELG 5131 Graphical Models
3 units
Electrical Engineering
Faculty of Engineering
Bayesian networks, factor graphs, Markov random fields, maximum a posteriori probability (MAP) and maximum likelihood (ML) principles, elimination algorithm, sum-product algorithm, decomposable and non-decomposable models, junction tree algorithm, completely observed models, iterative proportional fitting algorithm, expectation-maximization (EM) algorithm, iterative conditional modes algorithm, variational methods, applications. Courses ELG 5131 , ELG 7177 (EACJ 5605) cannot be combined for units. This course is equivalent to EACJ 5131 at Carleton University.
Components:
Lecture
Previously Offered Terms:
Fall