Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
Crossref DOI link: https://doi.org/10.1007/s10994-021-05946-3
Published Online: 2021-03-08
Published Print: 2021-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hüllermeier, Eyke https://orcid.org/0000-0002-9944-4108
Waegeman, Willem
Funding for this research was provided by:
Projekt DEAL
Text and Data Mining valid from 2021-03-01
Version of Record valid from 2021-03-08
Article History
Received: 26 March 2020
Revised: 29 September 2020
Accepted: 2 January 2021
First Online: 8 March 2021