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Learning misclassification costs for imbalanced classification on gene expression data
BACKGROUND: Cost-sensitive algorithm is an effective strategy to solve imbalanced classification problem. However, the misclassification costs are usually determined empirically based on user expertise, which leads to unstable performance of cost-sensitive classification. Therefore, an efficient and...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929277/ https://ncbi.nlm.nih.gov/pubmed/31874599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3255-x |
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