Gaussian Bayesian network structure learning strategies based on canonical correlation analysis

In order to solve the problem of low efficiency and low reliability of Gaussian Bayesian network structure learning methods, this paper proposes a new Gaussian Bayesian network structure learning algorithm from data based on the canonical correlation analysis. Firstly, by canonical correlation analysis of the son node and the candidate parent nodes, the correlation coefficients and correlation variables are given. Because the correlation...