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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| 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 |