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Classifier performance prediction for computer-aided diagnosis using a limited dataset
In a practical classifier design problem, the true population is generally unknown and the available sample is finite-sized. A common approach is to use a resampling technique to estimate the performance of the classifier that will be trained with the available sample. We conducted a Monte Carlo sim...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2811557/ https://ncbi.nlm.nih.gov/pubmed/18491550 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.2868757 |
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