Abstract
We consider the real log canonical threshold for the learning model in Bayesian estimation.This threshold corresponds to a learning coefficient of generalization error in Bayesianestimation, which serves to measure learning efficiency in hierarchical learning models [30, 31, 33].In this paper, we clarify the ideal which gives the log canonical threshold of the restricted Boltzmannmachine and consider the learning coefficients of this model.
Cite
CITATION STYLE
APA
Aoyagi, M. (2013). Learning Coefficient in Bayesian Estimation of Restricted Boltzmann Machine. Journal of Algebraic Statistics, 4(1). https://doi.org/10.18409/jas.v4i1.18
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free