A flexible class of dependence-aware multi-label loss functions

DOI10.1007/s10994-021-06107-2OpenAlexW3100537104MaRDI QIDQ2127260

Eyke Hüllermeier, Johannes Fürnkranz, Michael Rapp, Marcel Wever, Eneldo Loza Mencía

Publication date: 20 April 2022

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

Full work available at URL: https://arxiv.org/abs/2011.00792

zbMATH Keywords

loss functionanalysisnon-additive measuresmulti-label classificationlabel dependence

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

DependenceAwareMLCLoss

Uses Software

• MULAN
• BOOMER
• ML-plan

Cites Work

• On label dependence and loss minimization in multi-label classification
• Learning monotone nonlinear models using the Choquet integral
• Theory of capacities
• Classifier Chains: A Review and Perspectives
• Unnamed Item

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