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Zhao et al., 2024 - Google Patents

Outlier detection for partially labeled categorical data based on conditional information entropy

Zhao et al., 2024

Document ID
5269194018054740348
Author
Zhao Z
Wang R
Huang D
Li Z
Publication year
Publication venue
International Journal of Approximate Reasoning

External Links

Snippet

Labeling a large amount of data is exceptionally costly and practically infeasible, and thus available data may have missing labels. In this article, we investigate outlier detection for partially labeled categorical data based on conditional information entropy. Firstly, the …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G—PHYSICS
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