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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Hlavní autor: | Mederos, Boris |
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Další autoři: | Ramirez-Padron, Ruben, González, Avelino J. |
Médium: | Artículo |
Jazyk: | English |
Vydáno: |
2020
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Témata: | |
On-line přístup: | https://doi.org/10.1007/s00180-020-01011-0 https://link.springer.com/article/10.1007/s00180-020-01011-0 |
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