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CausNet: generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraints
BACKGROUND: Finding a globally optimal Bayesian Network using exhaustive search is a problem with super-exponential complexity, which severely restricts the number of variables that can feasibly be included. We implement a dynamic programming based algorithm with built-in dimensionality reduction an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926787/ https://www.ncbi.nlm.nih.gov/pubmed/36788490 http://dx.doi.org/10.1186/s12859-023-05159-6 |