Abstract: The Broad Learning System (BLS) performs well in semi-supervised scenarios across many datasets, but its effectiveness is often limited by inadequate feature extraction and inefficient label ...

Abstract: Traditional single-label learning assumes each instance belongs to only one category, which limits its ability to describe real-world objects with multiple semantics. Although multi-label ...