Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance

Over recent decades, the rapid growth in data makes ever more urgent the quest for highly scalable Bayesian networks that have better classification performance and expressivity (that is, capacity to respectively describe dependence relationships between attributes in different situations). To reduc...

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Detalles Bibliográficos
Autores principales: Wang, Limin, Liu, Yang, Mammadov, Musa, Sun, Minghui, Qi, Sikai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514978/
https://www.ncbi.nlm.nih.gov/pubmed/33267204
http://dx.doi.org/10.3390/e21050489

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514978/
https://www.ncbi.nlm.nih.gov/pubmed/33267204
http://dx.doi.org/10.3390/e21050489

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