  The adaptive Thouless--Anderson--Palmer (TAP) mean-field approximation is one
of the advanced mean-field approaches, and it is known as a powerful accurate
method for Markov random fields (MRFs) with quadratic interactions (pairwise
MRFs). In this study, an extension of the adaptive TAP approximation for MRFs
with many-body interactions (higher-order MRFs) is developed. We show that the
adaptive TAP equation for pairwise MRFs is derived by naive mean-field
approximation with diagonal consistency. Based on the equivalence of the
approximate equation obtained from the naive mean-field approximation with
diagonal consistency and the adaptive TAP equation in pairwise MRFs, we
formulate approximate equations for higher-order Boltzmann machines, which is
one of simplest higher-order MRFs, via the naive mean-field approximation with
diagonal consistency.
