Construct · 1 fields · 1 citations

co-training: a standalone construct

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Machine learning

a semi-supervised method that trains two classifiers on two separate views of the data, each labeling unlabeled examples for the other.

In machine learning, co-training refers to a semi-supervised method that trains two classifiers on two separate views of the data, each labeling unlabeled examples for the other. This meaning comes from Blum (1998) in Proceedings of the eleventh annual conference on Computational learning theory.[1]

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Nearby constructs

labeling3 fields · 5 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. Proceedings of the eleventh annual conference on Computational learning theory. https://doi.org/10.1145/279943.279962

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