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News/Focused PU learning from imbalanced data
arxiv
PublishedMay 15, 2026 at 4:00 AM
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Focused PU learning from imbalanced data

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Publisher summary· verbatim

arXiv:2605.14467v1 Announce Type: new Abstract: We propose a new method of learning from positive and unlabeled (PU) examples in highly imbalanced datasets. Many real-world problems, such as disease gene identification, targeted marketing, fraud detection, and recommender systems, are hard to addres

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#machine-learning#imbalanced-datasets#binary-classification#financial-detection

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arxiv
Read original ↗All from arxiv →
Tags
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#machine-learning#imbalanced-datasets#binary-classification#financial-detection

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