AI 536
PROBABILISTIC GRAPHICAL MODELS
Oregon State University-Cascades Campus · UGRD · Fall 2026
1 section
Catalog 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.
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001
Availability not recently verifiedClass #oregon_cascades_campus-0774Fall 2026UGRD4 credits
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