Robust weighted Gaussian processes

Robust weighted Gaussian processes

This paper presents robust weighted variants of batch and online standard Gaussian processes (GPs) to effectively reduce the negative impact of outliers in the corresponding GP models. This is done by introducing robust data weighers that rely on robust and quasi-robust weight functions that come fr...

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Bibliografski detalji
Glavni autor:	Mederos, Boris
Daljnji autori:	Ramirez-Padron, Ruben, González, Avelino J.
Format:	Artículo
Jezik:	English
Izdano:	2020
Teme:	Machine learning Online learning Robust regression Outlying data info:eu-repo/classification/cti/1
Online pristup:	https://doi.org/10.1007/s00180-020-01011-0 https://link.springer.com/article/10.1007/s00180-020-01011-0
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

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