Model averaging strategies for structure learning in Bayesian networks with limited data

BACKGROUND: Considerable progress has been made on algorithms for learning the structure of Bayesian networks from data. Model averaging by using bootstrap replicates with feature selection by thresholding is a widely used solution for learning features with high confidence. Yet, in the context of l...

Descripción completa

Detalles Bibliográficos
Autores principales: Broom, Bradley M, Do, Kim-Anh, Subramanian, Devika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3426799/
https://www.ncbi.nlm.nih.gov/pubmed/23320818
http://dx.doi.org/10.1186/1471-2105-13-S13-S10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3426799/
https://www.ncbi.nlm.nih.gov/pubmed/23320818
http://dx.doi.org/10.1186/1471-2105-13-S13-S10

Ejemplares similares