罗博斯 (RoBoSS):一个强大的,有限的,稀疏的,和平滑的损失功能,用于监督学习

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Updated: Jun 12, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

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Mushir Akhtar, M Tanveer, Mohd Arshad

    IEEE transactions on pattern analysis and machine intelligence
    |September 20, 2024
    PubMed
    概括

    本研究介绍了一种新的强大,边界,稀疏和光滑 (RoBoSS) 损失函数用于监督学习,增强支持矢量机 (SVM) 的性能. 新的RoBoSS-SVM算法在包括医疗数据在内的各种数据集上展示了卓越的概括性和效率.

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