A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data

A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data

Learning the structure of Bayesian networks (BNs) from high dimensional discrete data is common nowadays but a challenging task, due to the large parameter space, the acyclicity constraint placed on the graphical structures and the difficulty in searching for a sparse structure. In this article, we...

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Bibliographic Details
Main Authors: Weiping Zhang, Ziqiang Xu, Yu Chen, Jing Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Network theory
regression analysis
Bayesian methods
adaptive group lasso
multi-logit regression
structure learning
Online Access:https://ieeexplore.ieee.org/document/8813012/

Internet

https://ieeexplore.ieee.org/document/8813012/

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