Susceptibility propagation by using diagonal consistency

Muneki Yasuda, Kazuyuki Tanaka

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


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.

Original languageEnglish
Article number012134
JournalPhysical Review E
Issue number1
Publication statusPublished - 2013 Jan 24


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