Everything about Multi-label classification
Classification problem where multiple labels may be assigned to each instance
In machine learning, multi-label classification or multi-output classification is a variant of the classification problem where multiple nonexclusive labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of several classes. In the multi-label problem the labels are nonexclusive and there is no constraint on how many of the classes the instance can be assigned to. The formulation of multi-label learning was first introduced by Shen et al. in the context of Semantic Scene Classification, and later gained popularity across various areas of machine learning. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multi-label classificationA 5-minute orientation
- Skim a recent paper: Multi-Label Retinal Disease Classification Using TransformersInfluential work since 2022
- Pick up a classic book: Natural Language Processing and Information SystemsThe most-reprinted book on the subject
- Read the landmark paper: Multi-Label ClassificationCited 2,031 times
- Go sideways: Multiclass classificationA closely related topic
- Go sideways: Support vector machineA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Multi-Label Classification
Learning multi-label scene classification
Classifier chains for multi-label classification
Multi-Label Classification with Label Graph Superimposing
Ensemble methods for multi-label classification
Multi-label classification by exploiting label correlations
ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification
Semi-supervised imbalanced multi-label classification with label propagation
🆕 Influential since 2022
Multi-Label Retinal Disease Classification Using Transformers
Dynamic ensemble learning for multi-label classification
Label prompt for multi-label text classification
Label-representative graph convolutional network for multi-label text classification
Multi-Label Classification Based on Associations
📚 Books worth reading
Natural Language Processing and Information SystemsElisabeth Métais · 2005
DSM-IV-TR in actionSophia F. Dziegielewski · 2008
Genetic ProgrammingKrzysztof Krawiec · 2013- 📕Applied data miningGuandong Xu · 2013
Information Processing in Medical ImagingJames C. Gee · 2013
Computational Visual MediaShi-Min Hu · 2012
Computational Intelligence and Decision MakingAna Madureira · 2012
Linguistic structure predictionNoah A. Smith · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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