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Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data
In this paper, we introduce pebl, a Python library and application for learning Bayesian network structure from data and prior knowledge that provides features unmatched by alternative software packages: the ability to use interventional data, flexible specification of structural priors, modeling wi...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2804996/ https://ncbi.nlm.nih.gov/pubmed/20161541 |
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