ENTITY
Positive Unlabeled (PU) learning
Positive Unlabeled (PU) learning
PulseAugur coverage of Positive Unlabeled (PU) learning — every cluster mentioning Positive Unlabeled (PU) learning across labs, papers, and developer communities, ranked by signal.
Total · 30d
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Papers · 30d
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1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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New PUe Framework Enhances Learning with Biased Datasets · 2 sources tracked
Researchers have developed a new framework called PUe to enhance Positive-Unlabeled (PU) learning by addressing selection bias in real-world datasets. This framework, building on prior work by Bekker et al., introduces …
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New SPUNA framework detects covariate shift using weaker supervision
Researchers have developed a new framework called Spectral PU Neighborhood Annotation (SPUNA) to detect covariate shift in computer vision systems. This geometry-aware approach uses Positive Unlabeled (PU) learning, req…