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Impact of precision of Bayesian networks parameters on accuracy of medical diagnostic systems
OBJECTIVE: One of the hardest technical tasks in employing Bayesian network models in practice is obtaining their numerical parameters. In the light of this difficulty, a pressing question, one that has immediate implications on the knowledge engineering effort, is whether precision of these paramet...
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| Publié dans: | Artif Intell Med |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4486041/ https://ncbi.nlm.nih.gov/pubmed/23466438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.artmed.2013.01.004 |
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