Efficient Heuristics for Structure Learning of k-Dependence Bayesian Classifier

The rapid growth in data makes the quest for highly scalable learners a popular one. To achieve the trade-off between structure complexity and classification accuracy, the k-dependence Bayesian classifier (KDB) allows to represent different number of interdependencies for different data sizes. In th...

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Detalles Bibliográficos
Autores principales: Liu, Yang, Wang, Limin, Sun, Minghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512482/
https://www.ncbi.nlm.nih.gov/pubmed/33266621
http://dx.doi.org/10.3390/e20120897