Polynomial-Time Algorithm for Learning Optimal BFS-Consistent Dynamic Bayesian Networks

Dynamic Bayesian networks (DBN) are powerful probabilistic representations that model stochastic processes. They consist of a prior network, representing the distribution over the initial variables, and a set of transition networks, representing the transition distribution between variables over tim...

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Detalles Bibliográficos
Autores principales: Sousa, Margarida, Carvalho, Alexandra M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512791/
https://www.ncbi.nlm.nih.gov/pubmed/33265365
http://dx.doi.org/10.3390/e20040274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512791/
https://www.ncbi.nlm.nih.gov/pubmed/33265365
http://dx.doi.org/10.3390/e20040274

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