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Belief Propagation on Partially Ordered Sets

  • Robert J. McEliece
  • Muhammed Yildirim
Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 134)

Abstract

In this paper, which is based on the important recent work of Yedidia, Freeman, and Weiss, we present a generalized form of belief propagation, viz. belief propagation on a partially ordered set (PBP). PBP is an iterative message-passing algorithm for solving, either exactly or approximately, the marginalized product density problem, which is a general computational problem of wide applicability. We will show that PBP can be thought of as an algorithm for minimizing a certain “free energy” function, and by exploiting this interpretation, we will exhibit a one-to-one correspondence between the fixed points of PBP and the stationary points of the free energy.

Keywords

Free Energy Belief Propagation Helmholtz Free Energy Hasse Diagram Cluster Variation Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 2003

Authors and Affiliations

  • Robert J. McEliece
  • Muhammed Yildirim
    • 1
  1. 1.Department of Electrical EngineeringCalifornia Institute of TechnologyPasadenaUSA

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