Construct · 1 fields · 1 citations

weak supervision: a standalone construct

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Machine learning

training models from noisy, programmatically generated labels whose accuracies and correlations are modeled rather than from hand labels.

In machine learning, weak supervision refers to training models from noisy, programmatically generated labels whose accuracies and correlations are modeled rather than from hand labels. This meaning comes from Ratner (2019) in The VLDB Journal.[1]

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Nearby constructs

hand1 fields · 1 citationsanchor · a single construct in textile science learning6 fields · 14 citationsjingle · one name, six constructs training3 fields · 5 citationsjingle · one word, three constructs

References

Ratner, A., Bach, S. H., Ehrenberg, H., Fries, J., Wu, S., & Ré, C. (2019). Snorkel: rapid training data creation with weak supervision. The VLDB Journal, 29(2-3), 709-730. https://doi.org/10.1007/s00778-019-00552-1

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