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ENTITY hinge loss

hinge loss

PulseAugur coverage of hinge loss — every cluster mentioning hinge loss across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_48594 ·

    New sampling bounds achieve optimal error for regularized classification

    Researchers have developed new sampling bounds for regularized classification, achieving optimal $(1\pm\varepsilon)$-relative error for a wide range of Lipschitz continuous loss functions. The study presents improved sa…

  2. RESEARCH · CL_05073 ·

    New RFLkPC method robustly handles outliers in k-plane clustering

    Researchers have introduced a new method called Robust Fuzzy local k-plane clustering (RFLkPC) to address limitations in traditional k-plane clustering. This new approach combines hinge loss and L1 norm to create a mixt…