The FEDHC Bayesian Network Learning Algorithm

The FEDHC Bayesian Network Learning Algorithm

The paper proposes a new hybrid Bayesian network learning algorithm, termed Forward Early Dropping Hill Climbing (FEDHC), devised to work with either continuous or categorical variables. Further, the paper manifests that the only implementation of MMHC in the statistical software <i>R</i>...

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Bibliographic Details
Main Author: Michail Tsagris
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
causality
Bayesian networks
scalability
Online Access:https://www.mdpi.com/2227-7390/10/15/2604

Internet

https://www.mdpi.com/2227-7390/10/15/2604

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