Construct · 1 fields · 1 citations

confident learning: a standalone construct

One name. One construct. A landmark on the map.

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Data science

an approach that estimates the joint distribution of noisy and true labels from predicted probabilities to find and prune mislabeled examples.

In data science, confident learning refers to an approach that estimates the joint distribution of noisy and true labels from predicted probabilities to find and prune mislabeled examples. This meaning comes from Northcutt (2021) in Journal of Artificial Intelligence Research.[1]

Unit
Recovery means
Measured by

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Nearby constructs

distribution2 fields · 2 citationsjingle · one word, two constructs intelligence6 fields · 14 citationsjingle · one name, six constructs joint2 fields · 2 citationsjingle · one word, two constructs

References

Northcutt, C., Jiang, L., & Chuang, I. (2021). Confident Learning: Estimating Uncertainty in Dataset Labels. Journal of Artificial Intelligence Research, 70, 1373-1411. https://doi.org/10.1613/jair.1.12125

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