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AI 536

Probabilistic Graphical Models

Oregon State University 4 credits AI

Course Description

Representation of probabilistic graphical models, both directed (Bayesian networks) and undirected (Markov networks). Exact and approximate inference techniques. Parameter and structure learning from data.

Code
AI 536
Credits
4
Subject
AI

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