A Mobile Bayesian Network Structure Learning Method Using Genetic Incremental K2 Algorithm and Random Attribute Order Technology

The application of existing datasets to construct a probabilistic network has always been the primary research focus for mobile Bayesian networks, particularly when the dataset size is large. In this study, we improve the K2 algorithm. First, we relax the K2 algorithm requirements for node order and...

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Veröffentlicht in:	Scientific programming 2021, Vol.2021, p.1-6
Hauptverfasser:	Xiao, Ying, Wang, Deyan, Gao, Ya
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Bayesian analysis Datasets Efficiency Fault diagnosis Genetic algorithms Knowledge Machine learning Nodes Optimization Optimization algorithms Random variables Training
Online-Zugang:	Volltext
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