Open Access
| Issue |
EPJ Web of Conf.
Volume 294, 2024
WONDER-2023 - 6th International Workshop On Nuclear Data Evaluation for Reactor applications
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 7 | |
| Section | Theory | |
| DOI | https://doi.org/10.1051/epjconf/202429403002 | |
| Published online | 17 April 2024 | |
- C.E. Rasmussen, C.K.I. Williams, Gaussian processes for machine learning. (2006) [Google Scholar]
- A.C. Wahl, Atomic Data and Nuclear Data Tables 39, 1 (1988) [Google Scholar]
- V. Piau et al., Physics Letters B 837, 137648 (2023) [CrossRef] [Google Scholar]
- Vorobyev et al., AIP Conference Proceedings 798, 255 (2005) [Google Scholar]
- R. Le Riche, N. Durrande (2019), lecture, https://hal.science/cel-02285439 [Google Scholar]
- R. Le Riche (2014), lecture, https://hal.science/cel-01081304 [Google Scholar]
- A. McHutchon, C.E. Rasmussen, Gaussian Process training with input noise (2011) [Google Scholar]
- K.V. Mardia, R.J. Marshall, Biometrika 71, 135 (1984) [CrossRef] [Google Scholar]
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