Jeffreys-Lindley Paradox in Machine Learning

Autor: Berrar, Daniel, Dubitzky, Werner
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