Aleatoric and Epistemic Uncertainty in Machine Learning: A Tutorial Introduction
By Eyke Hüllermeier, Willem Waegeman. 2019
88 citations recorded by the source corpus.
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- Farhad Pourpanah
- Moloud Abdar
- Abbas Khosravi
- U. Rajendra Acharya
- Saeid Nahavandi
- Paul W. Fieguth
- Xiaochun Cao
- Sadiq Hussain
Citations in the corpus
- A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (2020, background): “There are two main sources of uncertainty, conceptually called aleatoric and epistemic uncertainties [8] (see Fig.”