Multilabel Prediction with Probability Sets: The Hamming Loss Case

DOI10.1007/978-3-319-08855-6_50zbMath1425.62013OpenAlexW2278792521MaRDI QIDQ5230080

Sebastien Destercke

Publication date: 20 August 2019

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-08855-6_50

zbMATH Keywords

credal setsbinary relevancemultilabelindeterminate classificationlarge decision spaces

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) General considerations in statistical decision theory (62C05)

Related Items (2)

Multi-label chaining with imprecise probabilities ⋮ Multilabel predictions with sets of probabilities: the Hamming and ranking loss cases

Cites Work

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• On label dependence and loss minimization in multi-label classification
• Decision making under uncertainty using imprecise probabilities
• Multilabel classification via calibrated label ranking
• Exact credal treatment of missing data
• Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification
• Conservative Inference Rule for Uncertain Reasoning under Incompleteness

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