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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 .
Tree decompositions are also called junction trees, ... The time dependence of this algorithm on k is an exponential function of k 3. Dynamic programming
One method of exact marginalization in general graphs is called the junction tree algorithm, which is simply belief propagation on a modified graph guaranteed to be a tree. The basic premise is to eliminate cycles by clustering them into single nodes.
It is a key step of the junction tree algorithm, used in belief propagation on graphical models. A directed acyclic graph. The corresponding moral graph, with newly ...
A more efficient tree construction algorithm for the common case of sparse data was outlined in Meilă (1999). Chow and Wagner proved in a later paper Chow & Wagner (1973) that the learning of the Chow–Liu tree is consistent given samples (or observations) drawn i.i.d. from a tree-structured distribution. In other words, the probability of ...
Pages in category "Graph algorithms" ... Junction tree algorithm; K. K shortest path routing; Karger's algorithm; KHOPCA clustering algorithm; Kleitman–Wang algorithms;
The market reached $214 billion in 2023, 2.3 times that of 2020, according to estimates by iiMedia Research, a China-based firm that tracks consumer trends.
Minimum spanning tree. Boruvka's algorithm; Kruskal's algorithm; Prim's algorithm; Steiner tree; ... Tree decomposition (Junction tree) and treewidth; Graph ...