22 citations · 148 across the 31 of their papers we have counts for
3 papers · 1 filter
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting
Yuuki Yokoyama, Tomu Katsumata, Muneki Yasuda
Generalization is one of the most important issues in machine learning problems. In this study, we consider generalization in restricted Boltzmann machines (RBMs). We propose an RB…
Adaptive Thouless--Anderson--Palmer equation for higher-order Markov random fields
Chako Takahashi, Muneki Yasuda, Kazuyuki Tanaka
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…
Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model
Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka +2
A new Bayesian modeling method is proposed by combining the maximization of the marginal likelihood with a momentum-space renormalization group transformation for Gaussian graphica…