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A Wrapper Feature Subset Selection Method Based on Randomized Search and Multilayer Structure
The identification of discriminative features from information-rich data with the goal of clinical diagnosis is crucial in the field of biomedical science. In this context, many machine-learning techniques have been widely applied and achieved remarkable results. However, disease, especially cancer,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885241/ https://www.ncbi.nlm.nih.gov/pubmed/31828154 http://dx.doi.org/10.1155/2019/9864213 |