Loopy Belief Propagation and Gibbs Measures (2002)
by
Sekhar C. Tatikonda
,
Michael I. Jordan
| Venue: | In Uncertainty in Artificial Intelligence |
| Citations: | 60 - 3 self |
BibTeX
@INPROCEEDINGS{Tatikonda02loopybelief,
author = {Sekhar C. Tatikonda and Michael I. Jordan},
title = {Loopy Belief Propagation and Gibbs Measures},
booktitle = {In Uncertainty in Artificial Intelligence},
year = {2002},
pages = {493--500},
publisher = {Morgan Kaufmann}
}
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Abstract
We address the question of convergence in the loopy belief propagation (LBP) algorithm.
Citations
| 719 | FV: An Introduction to Bayesian Networks - Jensen - 1996 |
| 135 | Correctness of local probability propagation in graphical models with loops - Weiss |
| 84 | CCCP algorithms to minimize the Bethe and Kikuchi free energies: Convergent alternatives to belief propagation - Yuille |
| 42 | Tree-based reparameterization for approximate estimation on loopy graphs - Wainwright, Jaakkola, et al. |
| 39 | Gibbs measures and phase transitions - Georgii - 1988 |
| 1 | Conditions for Convergence in the Loopy Belief Propagation Algorithm. " Berkeley working paper - Tatikonda, Jordan - 2002 |
| 1 | Bethe Free Energy, Kikuchi Approximations and Belief Propagation Algorithms - Weiss - 2000 |
