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   Articles with "laplace kernel" as a keyword



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A Robust Regression Framework with Laplace Kernel-Induced Loss

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recommendations! Published in 2017 at "Neural Computation"

DOI: 10.1162/neco_a_01002

Abstract: This work proposes a robust regression framework with nonconvex loss function. Two regression formulations are presented based on the Laplace kernel-induced loss (LK-loss). Moreover, we illustrate that the LK-loss function is a nice approximation for… read more here.

Keywords: regression; regression framework; laplace kernel; robust regression ... See more keywords