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Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets
Classification accuracy achieved by a machine learning technique depends on the feature set used in the learning process. However, it is often found that all the features extracted by some means for a particular task do not contribute to the classification process. Feature selection (FS) is an imper...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396289/ https://www.ncbi.nlm.nih.gov/pubmed/36034050 http://dx.doi.org/10.1016/j.eswa.2022.116834 |