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Building an Ensemble of Fine-Tuned Naive Bayesian Classifiers for Text Classification
Text classification is one domain in which the naive Bayesian (NB) learning algorithm performs remarkably well. However, making further improvement in performance using ensemble-building techniques proved to be a challenge because NB is a stable algorithm. This work shows that, while an ensemble of...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512419/ https://www.ncbi.nlm.nih.gov/pubmed/33266581 http://dx.doi.org/10.3390/e20110857 |