CENG 533
Probabilistic Reasoning
Graphical Probability Models. Bayesian Reasoning. Bayesian Networks. Learning in Bayesian Networks. Knowledge Engineering. Temporal Models. Inference in Dynamic Bayesian Networks. Markov Decision Processes.
Topics |
Introduction |
Graphical Probability Models |
Representing Knowledge in an Uncertain World |
Bayesian Reasoning |
Inference in Bayesian Networks |
Learning in Bayesian Networks |
Summary and Examination |
Knowledge Engineering |
Bayesian Network Applications |
Temporal Models |
Inference in Dynamic Bayesian Networks |
Markov Decision Processes |
Partially Observable Markov Decision Processes |
Project Presentations |
Instructor(s)
Other MS Courses
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