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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书目详细资料
主要作者:	Mederos, Boris
其他作者:	Ramirez-Padron, Ruben, González, Avelino J.
格式:	Artículo
语言:	English
出版:	2020
主题:	Machine learning Online learning Robust regression Outlying data info:eu-repo/classification/cti/1
在线阅读:	https://doi.org/10.1007/s00180-020-01011-0 https://link.springer.com/article/10.1007/s00180-020-01011-0
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