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Junction tree algorithm

The junction tree algorithm (also known as 'Clique Tree') is a method used in machine learning to extract marginalization in general graphs. In essence, it entails performing belief propagation on a modified graph called a junction tree. The graph is called a tree because it branches into different sections of data; nodes of variables are the branches.…

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Junction tree algorithm

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Junction tree algorithm

Nodes34
Edges33
Triples0
Avg. degree1.94
Density0.058824
Components1

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tree algorithm graph junction step belief graphs propagation variables algorithms used different data hugin inference nodes chordal clique make probabilities

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