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Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data
Bayesian networks have been widely used in many scientific fields for describing the conditional independence relationships for a large set of random variables. This letter proposes a novel algorithm, the so-called p-learning algorithm, for learning moral graphs for high-dimensional Bayesian network...
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| Publicado no: | Neural Comput |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6874850/ https://ncbi.nlm.nih.gov/pubmed/30979349 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/neco_a_01190 |
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