Thin Junction Trees

  title={Thin Junction Trees},
  author={Francis R. Bach and Michael I. Jordan},
We present an algorithm that induces a class of models with thin junction trees—models that are characterized by an upper bound on the size o f the maximal cliques of their triangulated graph. By ensurin g that the junction tree is thin, inference in our models remains tract able throughout the learning process. This allows both an efficient implemen tation of an iterative scaling parameter estimation algorithm and al so ensures that inference can be performed efficiently with the final model… CONTINUE READING
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