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Effect of finite sample size on feature selection and classification: A simulation study
Purpose: The small number of samples available for training and testing is often the limiting factor in finding the most effective features and designing an optimal computer-aided diagnosis (CAD) system. Training on a limited set of samples introduces bias and variance in the performance of a CAD sy...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Association of Physicists in Medicine
2010
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2826389/ https://ncbi.nlm.nih.gov/pubmed/20229900 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3284974 |
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