Towards Enabling Binary Decomposition for Partial Multi-Label Learning

Partial multi-label learning (PML) is an emerging weakly supervised learning framework, where each training example is associated with multiple candidate labels which are only partially valid. To learn the multi-label predictive model from PML training examples, most existing approaches work by iden...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 11 vom: 12. Nov., Seite 13203-13217
1. Verfasser: Liu, Bing-Qing (VerfasserIn)
Weitere Verfasser: Jia, Bin-Bin, Zhang, Min-Ling
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article