Corpus ID: 1137621

Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models

@inproceedings{Frey2002ExtendingFG,
  title={Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models},
  author={Brendan J. Frey},
  booktitle={UAI},
  year={2002}
}
  • Brendan J. Frey
  • Published in UAI 2002
  • Computer Science
  • The two most popular types of graphical model are Bayesian networks (BNs) and Markov random fields (MRFs). These types of model offer complementary properties in model construction, expressing conditional independencies, expressing arbitrary factorizations of joint distributions, and formulating messagepassing inference algorithms. We show how the notation and semantics of factor graphs (a relatively new type of graphical model) can be extended so as to combine the strengths of BNs and MRFs… CONTINUE READING

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