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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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Dettagli Bibliografici
Autori principali: Shah, Abhik, Woolf, Peter
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2009
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC2804996/
https://ncbi.nlm.nih.gov/pubmed/20161541
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