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Computer Science. 2024, (06) Core

Robust Estimation and Filtering Methods for Ordinal Label NoiseChinese Full TextEnglish Full Text (MT)

JIANG Gaoxia;WANG Fei;XU Hang;WANG Wenjian;School of Computer and Information Technology,Shanxi University;Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education(Shanxi University);

Abstract: Large-scale labeled datasets inevitably contain label noise, which limits the generalization performance of the model to some extent.The labels of ordinal regression datasets are discrete values, but there exist ordinal relationships between different labels.Although the labels of ordinal regression have the characteristics of both classification and regression labels, the label noise filtering algorithms for classification and regression tasks are not fully applicable to ordinal label noise.To ... More
Keywords：

Label noise; Ordinal regression; Akaike generalization error estimation; Noise filtering; Robust noise estimation;

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Automation Technology

  • Classification Code：

    TP18

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