A Novel Algorithm for Merging Bayesian Networks
The article presents a novel algorithm for merging Bayesian networks generated by different methods, such as expert knowledge and data-driven approaches, while leveraging a symmetry-based approach. The algorithm combines the strengths of each input network to create a more comprehensive and accurate...
Main Authors: | Miroslav Vaniš, Zdeněk Lokaj, Martin Šrotýř |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/15/7/1461 |
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