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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| 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 |