Active learning for hierarchical multi-label classification

DOI10.1007/s10618-020-00704-wzbMath1455.68177OpenAlexW3042816745MaRDI QIDQ2212520

Ricardo Cerri, Celine Vens, Felipe Kenji Nakano

Publication date: 23 November 2020

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/657282

zbMATH Keywords

active learninghierarchical multi-label classificationpredictive clustering trees

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• RCV1
• NewGOA

Cites Work

• Unnamed Item
• Learning from positive and unlabeled data: a survey
• Decision trees for hierarchical multi-label classification
• A survey on semi-supervised learning
• Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning
• Machine Learning: ECML 2004

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