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Susceptibility propagation by using diagonal consistency
Muneki Yasuda1, Kazuyuki Tanaka
1Graduate School of Information Sciences, Tohoku University, Japan. muneki@smapip.is.tohoku.ac.jp
Abstract:
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.
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