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Updated: Jan 14, 2026

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

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坚固的最小正方形双支向量机器,具有适应性平球损失

Hong-Jie Xing, Si-Wei Wang, Zi-Chuan He

    IEEE transactions on neural networks and learning systems
    |January 12, 2026
    PubMed
    概括

    一种新的强大的最小平方双支向量机器 (RLS-TWSVM) 使用自适应式球损失函数来提高抗噪声和概括性能,在实验中表现优于现有的方法.

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