Structural Learning of Bayesian Networks Via Constrained Hill Climbing Algorithms: Adjusting Trade‐off between Efficiency and Accuracy
Learning Bayesian networks is known to be an NP‐hard problem, and this, combined with
the growing interest in learning models from high‐dimensional domains, leads to the …
the growing interest in learning models from high‐dimensional domains, leads to the …
[引用][C] Learning Bayesian Networks with Large-scale Problems and Computing Paradigms
JA Martınez