Susceptibility propagation by using diagonal consistency

Muneki Yasuda, Kazuyuki Tanaka

研究成果: Article査読

19 被引用数 (Scopus)

抄録

A susceptibility propagation that is constructed by combining a belief propagation and a linear response method is used for approximate computation for Markov random fields. Herein, we formulate an improved susceptibility propagation by using the concept of a diagonal matching method that is based on mean-field approaches to inverse Ising problems. The proposed susceptibility propagation is robust for various network structures, and it is reduced to the ordinary susceptibility propagation and to the adaptive Thouless-Anderson-Palmer equation in special cases.

本文言語English
論文番号012134
ジャーナルPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
87
1
DOI
出版ステータスPublished - 2013 1 24

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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