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ROC-Based Utility Function Maximization for Feature Selection and Classification with Applications to High-Dimensional Protease Data

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  • Zhenqiu Liu
  • Ming Tan

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  • Zhenqiu Liu & Ming Tan, 2008. "ROC-Based Utility Function Maximization for Feature Selection and Classification with Applications to High-Dimensional Protease Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1155-1161, December.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:4:p:1155-1161
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01015.x
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    References listed on IDEAS

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    1. Xiao-Hua Zhou & Pete Castelluccio & Chuan Zhou, 2005. "Nonparametric Estimation of ROC Curves in the Absence of a Gold Standard," Biometrics, The International Biometric Society, vol. 61(2), pages 600-609, June.
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    Cited by:

    1. Wang Zhu, 2011. "HingeBoost: ROC-Based Boost for Classification and Variable Selection," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-30, February.
    2. McCarthy, Patrick, 2024. "Predicting trips to health care facilities: A binary logit and receiver operating characteristics (ROC) approach," Research in Transportation Economics, Elsevier, vol. 103(C).

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