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Generalization Error Estimation and Filtering Algorithm for Regression with Noisy LabelsChinese Full TextEnglish Full Text (MT)

JIANG Gaoxia;LI Zhengying;WANG Wenjian;School of Computer and Information Technology, Shanxi University;Key Laboratory of Computational Intelligence and Chinese Information Processing, Shanxi University, Ministry of Education;

Abstract: When there exists numerical label noise in regression, traditional generalization error estimation methods become inapplicable.And it could rarely guarantee the generalization performance of the regression model.In this paper, a generalization error estimation method is proposed for the regression model on label noise, following which an adaptive Gaussian kernel noise estimator and sample recall filtering(AGKSRF)algorithm is designed.Based on the proposed Craven-Wahba(CW)generalization error est... More
  • DOI:

    10.20009/j.cnki.21-1106/TP.2023-0422

  • Series:

    (I) Electronic Technology & Information Science

  • Subject:

    Computer Software and Application of Computer

  • Classification Code:

    TP391.41

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