Supervised Multilabel Classification Algorithm: Difference between revisions
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* <B>Counter-Example(s):</B> | * <B>Counter-Example(s):</B> | ||
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* <B>See:</B> [[Classification Function]] | * <B>See:</B> [[Classification Function]]. | ||
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Latest revision as of 05:30, 28 November 2023
A Supervised Multilabel Classification Algorithm is a supervised classification algorithm that can solve a supervised multilabel classification task.
- AKA: Supervised Multi-Label Classifier.
- Example(s):
- Counter-Example(s):
- See: Classification Function.
References
2008
- (Vens et al., 2008) ⇒ Celine Vens, Jan Struyf, Leander Schietgat, Sašo Džeroski, and Hendrik Blockeel. (2008). “Decision trees for hierarchical multi-label classification." Machine Learning, 73(2)
2007
- (Tsoumakas & Katakis, 2007) ⇒ Grigorios Tsoumakas, and Ioannis Katakis. (2007). “Multi-Label Classification: An Overview.” In: International Journal of Data Warehousing and Mining, 3(3). doi:10.4018/jdwm.2007070101
2006
- (Zhang & Zhou, 2006) ⇒ Min-Ling Zhang, and Zhi-Hua Zhou. (2006). “Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization.” In: IEEE Transactions on Knowledge and Data Engineering, 18(10). [doi:10.1109/TKDE.2006.162].
2005
- (McDonald et al., 2005) ⇒ Ryan McDonald, Koby Crammer, and Fernando Pereira. (2005). “Flexible Text Segmentation with Structured Multilabel Classification.” In: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT/EMNLP, 2005).