title: Susceptibility propagation by using diagonal consistency.
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.
authors: Graduate School of Information Sciences, Tohoku University, Japan. muneki@smapip.is.tohoku.ac.jp
authors: Muneki
authors: M
authors: Yasuda
authors: Kazuyuki
authors: K
authors: Tanaka
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008390:Markov Chains; D015233:Models, Statistical; D012542:Scattering, Radiation