Prudent Response Surface Models
dc.contributor.affiliation | University of Helsinki - Tyree, Juniper | |
dc.contributor.affiliation | University of Helsinki, LUT University - Boy, Michael | |
dc.contributor.affiliation | LUT University - Rupp, Andreas | |
dc.contributor.affiliation | University of Helsinki - Clusius, Petri | |
dc.contributor.author | Tyree, Juniper | |
dc.contributor.author | Boy, Michael | |
dc.contributor.author | Rupp, Andreas | |
dc.contributor.author | Clusius, Petri | |
dc.date.accessioned | 2025-03-24T15:11:27Z | |
dc.date.issued | 2023-05-15 | |
dc.date.issued | 2023-05-15 | |
dc.description | Prudent Response Surface Models combine predictions with confidence scores and uncertainty levels, allowing their use in downstream analysis even for high-uncertainty or out-of-distribution inputs. | |
dc.identifier | https://doi.org/10.5281/zenodo.7938528 | |
dc.identifier.uri | https://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9189 | |
dc.rights | Open | |
dc.rights.license | cc-by-4.0 | |
dc.subject | SOSAA | |
dc.subject | response surface model | |
dc.subject | machine learning | |
dc.subject | out-of-distribution | |
dc.subject | uncertainty quantification | |
dc.title | Prudent Response Surface Models | |
dc.type | software | |
dc.type | software |