Approaches for Reducing Expert Burden in Bayesian Network Parameterization
Bayesian networks (BNs) are popular models that represent complex relationships among variables. In the discrete case, these relationships can be quantified by conditional probability tables (CPTs). CPTs can be derived from data, but if data are not sufficient, experts can be involved to assess the...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2025-05-01
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| Seria: | Entropy |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/1099-4300/27/6/579 |
| Etykiety: |
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