Towards a simple yet efficient cost function for the optimisation of Gaussian process regression model hyperparameters

Bienfait K. Isamura, Paul L. A. Popelier

Research output: Contribution to journal › Article › peer-review

Access to Document

@article{acb1a3fc6c8b4f2ab4280cb97b3778fc,

title = "Towards a simple yet efficient cost function for the optimisation of Gaussian process regression model hyperparameters",

author = "Isamura, {Bienfait K.} and Popelier, {Paul L. A.}",

year = "2023",

month = sep,

day = "1",

doi = "10.1063/5.0151033",

language = "English",

volume = "13",

journal = "AIP Advances",

issn = "2158-3226",

publisher = "American Institute of Physics",

}