2 papers
cs.LG2025
Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles
Shengcai Liu, Hui Ou-yang, Zhiyuan Wang +4
Learning the structure of Bayesian networks (BNs) from data is challenging, especially for datasets involving a large number of variables. The recently proposed divide-and-conquer…
cs.LG2023
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning
Hui Ouyang, Cheng Chen, Ke Tang
Dynamic Bayesian Networks (DBNs), renowned for their interpretability, have become increasingly vital in representing complex stochastic processes in various domains such as gene e…