Construct · 1 fields · 1 citations

positive-unlabeled learning: a standalone construct

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

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positive-unlabeledlearning1 CONSTRUCTPositive-unlabeledELKAN · MACHINE LEARNING

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Machine learning

training a classifier from positive and unlabeled examples only, by estimating the chance that a positive example is labeled.

In machine learning, positive-unlabeled learning refers to training a classifier from positive and unlabeled examples only, by estimating the chance that a positive example is labeled. This meaning comes from Elkan (2008) in Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining.[1]

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Nearby constructs

chance4 fields · 6 citationsjingle · one word, four constructsknowledge6 fields · 12 citationsjingle · one name, six constructslearning6 fields · 14 citationsjingle · one name, six constructs

References

  1. Elkan, C., & Noto, K. (2008). Learning classifiers from only positive and unlabeled data. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/1401890.1401920

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