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Found 2 papers, 1 papers with code
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
The idea to distinguish and quantify two important types of uncertainty, often referred to as aleatoric and epistemic, has received increasing attention in machine learning research in the last couple of years.
Aleatoric and Epistemic Uncertainty with Random Forests
In particular, the idea of distinguishing between two important types of uncertainty, often refereed to as aleatoric and epistemic, has recently been studied in the setting of supervised learning.
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