A Bayesian Network Structure Learning Algorithm Based on Probabilistic Incremental Analysis and Constraint

A Bayesian Network Structure Learning Algorithm Based on Probabilistic Incremental Analysis and Constraint

To address the problem of low efficiency of the existing hill-climbing algorithm in Bayesian network structure learning, this paper proposes a Bayesian network structure learning algorithm based on probabilistic incremental analysis and constraints. The algorithm constructs a suitable measure for re...

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Bibliographic Details
Main Authors: Haoran Liu, Shaopeng Cui, Sheng Li, Niantai Wang, Qianrui Shi, Yanbin Cai, Liyue Zhang, Dayan Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Probability increment
Bayesian network structure learning
constrained search space
Hill-climbing algorithm
Online Access:https://ieeexplore.ieee.org/document/9984163/

Internet

https://ieeexplore.ieee.org/document/9984163/

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