Construct · 1 fields · 1 citations

aleatoric uncertainty: a standalone construct

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Machine learning

uncertainty that comes from noise inherent in the observations and cannot be reduced by collecting more data.

In machine learning, aleatoric uncertainty refers to uncertainty that comes from noise inherent in the observations and cannot be reduced by collecting more data. This meaning comes from Kendall (2017) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

collecting1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs noise4 fields · 5 citationsjingle · one word, four constructs

References

Kendall, A., & Gal, Y. (2017). What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? arXiv. https://doi.org/10.48550/arxiv.1703.04977

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