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RDE: A novel approach to improve the classification performance and expressivity of KDB
Bayesian network classifiers (BNCs) have demonstrated competitive classification performance in a variety of real-world applications. A highly scalable BNC with high expressivity is extremely desirable. This paper proposes Redundant Dependence Elimination (RDE) for improving the classification perfo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056076/ https://www.ncbi.nlm.nih.gov/pubmed/30036402 http://dx.doi.org/10.1371/journal.pone.0199822 |