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  1. No Access

    Chapter and Conference Paper

    An Improved Cross-Validated Adversarial Validation Method

    As a widely-used strategy among Kaggle competitors, adversarial validation provides a novel selection framework of a reasonable training and validation sets. An adversarial validation heavily depends on an acc...

    Wen Zhang, Zhengjiang Liu, Yan Xue… in Knowledge Science, Engineering and Managem… (2023)

  2. No Access

    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)

  3. No Access

    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)