Mallard, Etienne and Saad, David (2008). Inference by belief propagation in composite systems. Physical Review E, 78 (2), 021107.
Abstract
We devise a message passing algorithm for probabilistic inference in composite systems, consisting of a large number of variables, that exhibit weak random interactions among all variables and strong interactions with a small subset of randomly chosen variables; the relative strength of the two interactions is controlled by a free parameter. We examine the performance of the algorithm numerically on a number of systems of this type for varying mixing parameter values.
Publication DOI: | https://doi.org/10.1103/PhysRevE.78.021107 |
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Divisions: | College of Engineering & Physical Sciences > Systems analytics research institute (SARI) |
Additional Information: | ©2008 The American Physical Society |
Uncontrolled Keywords: | message passing algorithm,probabilistic inference,composite systems,variables,interactions,Mathematical Physics,General Physics and Astronomy,Condensed Matter Physics,Statistical and Nonlinear Physics |
Publication ISSN: | 1550-2376 |
Last Modified: | 05 Aug 2024 10:26 |
Date Deposited: | 11 Mar 2019 17:50 |
Full Text Link: |
http://pre.aps. ... /v78/i2/e021107 |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2008-08-08 |
Authors: |
Mallard, Etienne
Saad, David ( ![]() |