Lossy compression of observations for Gaussian process regression
This paper proposes a novel approach of Gaussian process observation set compression based on a squared difference measure. It is used to discard observations to speed up Gaussian process prediction while retaining the information encoded in the full set of observations. Furthermore, this paper comp...
| Hlavní autoři: | , , |
|---|---|
| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
EDP Sciences
2022-01-01
|
| Edice: | MATEC Web of Conferences |
| On-line přístup: | https://www.matec-conferences.org/articles/matecconf/pdf/2022/17/matecconf_rapdasa2022_07006.pdf |