« Junction tree algorithm » : différence entre les versions


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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.[198]
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.[198]


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==Sources==




[https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence  Source : Wikipedia]
[https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence  Source : Wikipedia]

Dernière version du 28 janvier 2024 à 09:58



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Junction tree algorithm

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.[198]


Sources

Source : Wikipedia

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