Abstracting instance information and inter-label relations for sparse multi-label classification
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Publication:6536005
DOI10.1142/s0218488523500046zbMATH Open1547.68687MaRDI QIDQ6536005
Publication date: 16 March 2024
Published in: (Search for Journal in Brave)
feature extractionGaussian processinter-instance relationsinter-label correlationsparse multi-label classification
Cites Work
- A Bayesian nonparametric model for multi-label learning
- ML-KNN: A lazy learning approach to multi-label learning
- Unsupervised learning in space and time. A modern approach for computer vision using graph-based techniques and deep neural networks
- Multilabel Classification with Principal Label Space Transformation
- Wide neural networks of any depth evolve as linear models under gradient descent *
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