Mencía et al., 2018 - Google Patents
Learning interpretable rules for multi-label classificationMencía et al., 2018
View PDF- Document ID
- 13095046195208215763
- Author
- Mencía E
- Fürnkranz J
- Hüllermeier E
- Rapp M
- Publication year
- Publication venue
- Explainable and Interpretable Models in Computer Vision and Machine Learning
External Links
Snippet
Multi-label classification (MLC) is a supervised learning problem in which, contrary to standard multiclass classification, an instance can be associated with several class labels simultaneously. In this chapter, we advocate a rule-based approach to multi-label …
- 238000000034 method 0 description 22
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- G06F17/30705—Clustering or classification
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