Multilabel predictions with sets of probabilities: the Hamming and ranking loss cases
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Publication:1669612
DOI10.1016/J.PATCOG.2015.04.020zbMath1395.62291OpenAlexW1975196240MaRDI QIDQ1669612
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
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
- Credal model averaging for classification: representing prior ignorance and expert opinions
- Multilabel classifiers with a probabilistic thresholding strategy
- 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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