Jul 2026
Similarity-based multi-view positive and unlabeled learning
SMVPU first extracts reliable negative samples from the unlabeled set and assigns similarity-weighted values to the remaining unlabeled instances, and then incorporates multi-view representations to enhance feature compatibility and discriminability.
Bo Liu, Wentao Li, Fan Cao et al.
· Applied intelligence (Boston... · 0 citations