Multilabel predictions with sets of probabilities: the Hamming and ranking loss cases

DOI10.1016/J.PATCOG.2015.04.020zbMath1395.62291OpenAlexW1975196240MaRDI QIDQ1669612

Sebastien Destercke

Publication date: 3 September 2018

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.04.020

zbMATH Keywords

cautious predictionsmultilabelprobability setsweak labels

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (3)

Decision making under severe uncertainty on a budget ⋮ The multilabel naive credal classifier ⋮ Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence

Cites Work

• On label dependence and loss minimization in multi-label classification
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• Decision making under uncertainty using imprecise probabilities
• Multilabel classification via calibrated label ranking
• An overview of robust Bayesian analysis. (With discussion)
• The naive credal classifier
• Exact credal treatment of missing data
• Partial identification of probability distributions.
• Mathematical foundations for a theory of confidence structures
• Evaluating credal classifiers by utility-discounted predictive accuracy
• Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification
• Conservative Inference Rule for Uncertain Reasoning under Incompleteness
• Multilabel Prediction with Probability Sets: The Hamming Loss Case
• Upper and Lower Probabilities Induced by a Multivalued Mapping
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