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Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification
BACKGROUND: As a machine learning method with high performance and excellent generalization ability, extreme learning machine (ELM) is gaining popularity in various studies. Various ELM-based methods for different fields have been proposed. However, the robustness to noise and outliers is always the...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542897/ https://www.ncbi.nlm.nih.gov/pubmed/33028187 http://dx.doi.org/10.1186/s12859-020-03790-1 |