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Discovering causal interactions using Bayesian network scoring and information gain
BACKGROUND: The problem of learning causal influences from data has recently attracted much attention. Standard statistical methods can have difficulty learning discrete causes, which interacting to affect a target, because the assumptions in these methods often do not model discrete causal relation...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4880828/ https://www.ncbi.nlm.nih.gov/pubmed/27230078 http://dx.doi.org/10.1186/s12859-016-1084-8 |