Construct · 1 fields · 1 citations

epistemic uncertainty: a standalone construct

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Machine learning

uncertainty that comes from the learner's lack of knowledge about the best model and can in principle be reduced with more data.

In machine learning, epistemic uncertainty refers to uncertainty that comes from the learner's lack of knowledge about the best model and can in principle be reduced with more data. This meaning comes from Hüllermeier (2021) in Machine Learning.[1]

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Nearby constructs

knowledge6 fields · 12 citationsjingle · one name, six constructs learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Hüllermeier, E., & Waegeman, W. (2021). Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. Machine Learning, 110(3), 457-506. https://doi.org/10.1007/s10994-021-05946-3

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