Message Scheduling Methods for Belief Propagation-Reference-Cited by-同舟云学术

Message Scheduling Methods for Belief Propagation

Published:2015 Issue: Volume: Page:295-310
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
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Author:

Knoll Christian,Rath Michael,Tschiatschek Sebastian,Pernkopf Franz

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23525-7_18

Reference30 articles.

1. Cooper, G.F.: The computational complexity of probabilistic inference using Bayesian belief networks. Artificial Intelligence 42(2), 393–405 (1990)

2. Elidan, G., McGraw, I., Koller, D.: Residual belief propagation: Informed scheduling for asynchronous message passing. In: Conference on Uncertainty in Artificial Intelligence (UAI) (2006)

3. Frey, B.J., MacKay, D.J.: A revolution: Belief propagation in graphs with cycles. In: Neural Information Processing Systems (NIPS), pp. 479–485 (1998)

4. Georgii, H.O.: Gibbs Measures and Phase Transitions, vol. 9 (2011)

5. Goldberger, J., Kfir, H.: Serial schedules for belief-propagation: analysis of convergence time. IEEE Transactions on Information Theory 54(3), 1316–1319 (2008)

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