Multi-Label Learning Task
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A Multi-Label Learning Task is a classification task that ...
- AKA: Multilabel Classification.
- …
- Counter-Example(s):
- See: Multi-Class Classification.
References
2014
- (Zhang & Zhou, 2014) ⇒ Min-Ling Zhang, and Zhi-Hua Zhou. (2014). “A Review on Multi-Label Learning Algorithms.” In: Knowledge and Data Engineering, IEEE Transactions on, 26(8). doi:10.1109/TKDE.2013.39
- QUOTE: Multi-label learning studies the problem where each example is represented by a single instance while associated with a set of labels simultaneously. …
… There are several learning settings related to multi-label learning which are worth some discussion, such as multi-instance learning [25], ordinal classification [29], multi-task learning [10], and data streams classification [31].
- QUOTE: Multi-label learning studies the problem where each example is represented by a single instance while associated with a set of labels simultaneously. …
2006
- (Zhang & Zhou, 2006) ⇒ Min-Ling Zhang, and Zhi-Hua Zhou. (2006). “Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization." IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 10, pp. 1338-1351, October, (2006). doi:10.1109/TKDE.2006.162.
- QUOTE: Applications to two real-world multilabel learning problems, i.e., functional genomics and text categorization, show that the performance of BP-MLL is superior to that of some well-established multilabel learning algorithms.