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2018-19 Spring - COMP5213 - Introduction to Bayesian Networks

Course

Description

Bayesian networks and probabilistic modeling of complex domains; conditional independence and graph separation; variable elimination, clique tree propagation, and other inference algorithms; parameter learning; structure learning; latent structure models; recent developments.
Course period1/02/1930/06/19
Course levelPG
Course formatLecture