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Zhenxia Xue

2 papers indexed

crossrefSymmetry2024-09-19Cited by 5

The Robust Supervised Learning Framework: Harmonious Integration of Twin Extreme Learning Machine, Squared Fractional Loss, Capped L2,p-norm Metric, and Fisher Regularization

Zhenxia Xue, Yan Wang, Yuwen Ren, Xinyuan Zhang

As a novel learning algorithm for feedforward neural networks, the twin extreme learning machine (TELM) boasts advantages such as simple structure, few parameters, low complexity, and excellent generalization performance. However, it employs the squared L2-norm metric and an unbo…

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crossrefAxioms2023-07-24Cited by 6

Robust Fisher-Regularized Twin Extreme Learning Machine with Capped L1-Norm for Classification

Zhenxia Xue, Linchao Cai

Twin extreme learning machine (TELM) is a classical and high-efficiency classifier. However, it neglects the statistical knowledge hidden inside the data. In this paper, in order to make full use of statistical information from sample data, we first come up with a Fisher-regulari…

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