Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence

DOI10.1613/jair.1.12610OpenAlexW3205363109MaRDI QIDQ5026206

Eyke Hüllermeier, Vu-Linh Nguyen

Publication date: 7 February 2022

Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1613/jair.1.12610

zbMATH Keywords

uncertaintymachine learning

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Uses Software

• MULAN

Cites Work

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• The multilabel naive credal classifier
• Multilabel classifiers with a probabilistic thresholding strategy
• Multilabel predictions with sets of probabilities: the Hamming and ranking loss cases
• Designing multi-label classifiers that maximize \(F\) measures: state of the art
• Exploring symmetry of binary classification performance metrics
• A note on Platt's probabilistic outputs for support vector machines
• Learning with Rejection
• On optimum recognition error and reject tradeoff
• The Nearest Neighbor Classification Rule with a Reject Option
• Classifier Chains: A Review and Perspectives

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