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Multi-Label Feature Selection with Conditional Mutual Information
Feature selection is an important way to optimize the efficiency and accuracy of classifiers. However, traditional feature selection methods cannot work with many kinds of data in the real world, such as multi-label data. To overcome this challenge, multi-label feature selection is developed. Multi-...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569236/ https://www.ncbi.nlm.nih.gov/pubmed/36254206 http://dx.doi.org/10.1155/2022/9243893 |