Learning safe multi-label prediction for weakly labeled data

DOI10.1007/s10994-017-5675-zzbMath1457.68241OpenAlexW2775483462MaRDI QIDQ1640560

Y. Aharonov

Publication date: 14 June 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-017-5675-z

zbMATH Keywords

multi-label learningevaluation metricsafeweakly labeled data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Joint feature selection and classification for positive unlabelled multi-label data using weighted penalized empirical risk minimization ⋮ Graph-based semi-supervised learning via improving the quality of the graph dynamically

Uses Software

• LIBSVM
• MULAN
• ML-KNN

Cites Work

• ML-KNN: A lazy learning approach to multi-label learning

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