• Corpus ID: 85485755

The Linearization of Pairwise Markov Networks

  title={The Linearization of Pairwise Markov Networks},
  author={Wolfgang Gatterbauer},
Belief Propagation (BP) allows to approximate exact probabilistic inference in graphical models, such as Markov networks (also called Markov random fields, or undirected graphical models). However, no exact convergence guarantees for BP are known, in general. Recent work has proposed to approximate BP by linearizing the update equations around default values for the special case when all edges in the Markov network carry the same symmetric, doubly stochastic potential. This linearization has… 

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