Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence

In contrast to conventional (single-label) classification, the setting of multilabel classification (MLC) allows an instance to belong to several classes simultaneously. Thus, instead of selecting a single class label, predictions take the form of a subset of all labels. In this paper, we study an e...

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Veröffentlicht in:	The Journal of artificial intelligence research 2021-01, Vol.72, p.613-665
Hauptverfasser:	Nguyen, Vu-Linh, Hüllermeier, Eyke
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Classification Decision theory Labels Optimization
Online-Zugang:	Volltext
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