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    Article

    Tuning Parameter Selection Based on Blocked \(3\times 2\) Cross-Validation for High-Dimensional Linear Regression Model

    In high-dimensional linear regression, selecting an appropriate tuning parameter is essential for the penalized linear models. From the perspective of the expected prediction error of the model, cross-validati...

    **ngli Yang, Yu Wang, Ruibo Wang, Mengmeng Chen, Jihong Li in Neural Processing Letters (2020)

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    Article

    Choosing Between Two Classification Learning Algorithms Based on Calibrated Balanced \(5\times 2\) Cross-Validated F-Test

    \(5\times 2\) 5 ...

    Yu Wang, Jihong Li, Yanfang Li in Neural Processing Letters (2017)