Robust Adaptive Estimation of Graph Signals Based on Welsch Loss
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DOI: 10.3390/sym14020426
Abstract: This paper considers the problem of adaptive estimation of graph signals under the impulsive noise environment. The existing least mean squares (LMS) approach suffers from severe performance degradation under an impulsive environment that widely occurs… read more here.
Keywords: adaptive estimation; graph signals; welsch loss; graph ... See more keywords
Capped L2,p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss
Sign Up to like & getrecommendations! Published in 2023 at "Symmetry"
DOI: 10.3390/sym15051076
Abstract: A twin bounded support vector machine (TBSVM) is a phenomenon of symmetry that improves the performance of the traditional support vector machine classification algorithm. In this paper, we propose an improved model based on a… read more here.
Keywords: welsch loss; support vector; vector machine;