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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |