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  2. Junction tree algorithm - Wikipedia

    en.wikipedia.org/wiki/Junction_tree_algorithm

    Then any maximum-weight spanning tree of the clique graph is a junction tree. So, to construct a junction tree we just have to extract a maximum weight spanning tree out of the clique graph. This can be efficiently done by, for example, modifying Kruskal's algorithm. The last step is to apply belief propagation to the obtained junction tree. [10]

  3. Moral graph - Wikipedia

    en.wikipedia.org/wiki/Moral_graph

    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 added arcs shown in red

  4. Tree decomposition - Wikipedia

    en.wikipedia.org/wiki/Tree_decomposition

    The tree decomposition of a graph is far from unique; for example, a trivial tree decomposition contains all vertices of the graph in its single root node. A tree decomposition in which the underlying tree is a path graph is called a path decomposition, and the width parameter derived from these special types of tree decompositions is known as ...

  5. List of NP-complete problems - Wikipedia

    en.wikipedia.org/wiki/List_of_NP-complete_problems

    Minimum degree spanning tree; Minimum k-cut; Minimum k-spanning tree; Minor testing (checking whether an input graph contains an input graph as a minor); the same holds with topological minors; Steiner tree, or Minimum spanning tree for a subset of the vertices of a graph. [2] (The minimum spanning tree for an entire graph is solvable in ...

  6. Chow–Liu tree - Wikipedia

    en.wikipedia.org/wiki/Chow–Liu_tree

    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 ...

  7. Join-based tree algorithms - Wikipedia

    en.wikipedia.org/wiki/Join-based_tree_algorithms

    In computer science, join-based tree algorithms are a class of algorithms for self-balancing binary search trees. This framework aims at designing highly-parallelized algorithms for various balanced binary search trees. The algorithmic framework is based on a single operation join. [1]

  8. Talk:Junction tree algorithm - Wikipedia

    en.wikipedia.org/wiki/Talk:Junction_tree_algorithm

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  9. Minimum bottleneck spanning tree - Wikipedia

    en.wikipedia.org/wiki/Minimum_bottleneck...

    A bottleneck edge is the highest weighted edge in a spanning tree. A spanning tree is a minimum bottleneck spanning tree if the graph does not contain a spanning tree with a smaller bottleneck edge weight. [1] For a directed graph, a similar problem is known as Minimum Bottleneck Spanning Arborescence (MBSA).

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