Jeffreys-Lindley Paradox in Machine Learning
Autor: | Berrar, Daniel, Dubitzky, Werner |
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Rok vydání: | 2022 |
DOI: | 10.17605/osf.io/snxwj |
Popis: | This website provides supplementary material for the following paper: Berrar D. and Dubitzky W. (2017) On the Jeffreys-Lindley paradox and the looming reproducibility crisis in machine learning. Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA2017), Tokyo, Japan, pp. 334-340. |
Databáze: | OpenAIRE |
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