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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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Bibliografiske detaljer
Main Authors: Way, Ted W., Sahiner, Berkman, Hadjiiski, Lubomir M., Chan, Heang-Ping
Format: Artigo
Sprog:Inglês
Udgivet: American Association of Physicists in Medicine 2010
Fag:
Online adgang: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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