Graphical model: Difference between revisions

Revision as of 23:23, 15 January 2020

Revision as of 23:23, 15 January 2020

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===Other types===

*[[Naive Bayes classifier]] where we use a tree with a single root

*[[Dependency Network|Dependency Networks (graphical model)]] where cycles are allowed

*Tree-augmented classifier or '''TAN model'''

*A [[factor graph]] is an undirected [[bipartite graph]] connecting variables and factors. Each factor represents a function over the variables it is connected to. This is a helpful representation for understanding and implementing [[belief propagation]].