Evaluating credal classifiers by utility-discounted predictive accuracy

DOI10.1016/j.ijar.2012.06.022zbMath1266.62042OpenAlexW1963986132WikidataQ62046534 ScholiaQ62046534MaRDI QIDQ2375326

Giorgio Corani, Marco Zaffalon, Denis Deratani Mauá

Publication date: 13 June 2013

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2012.06.022

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Multivariate analysis and fuzziness (62H86)

Related Items (14)

Credal ensembles of classifiers ⋮ Cautious classification with data missing not at random using generative random forests ⋮ Multilabel predictions with sets of probabilities: the Hamming and ranking loss cases ⋮ On the median in imprecise ordinal problems ⋮ Tractable inference in credal sentential decision diagrams ⋮ Thirty years of credal networks: specification, algorithms and complexity ⋮ Robustifying sum-product networks ⋮ Credal model averaging for classification: representing prior ignorance and expert opinions ⋮ The multilabel naive credal classifier ⋮ Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks ⋮ Efficient set-valued prediction in multi-class classification ⋮ Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods ⋮ Decision Making with Hierarchical Credal Sets ⋮ Cautious classification based on belief functions theory and imprecise relabelling

Cites Work

• Building classification trees using the total uncertainty criterion
• On the optimality of the simple Bayesian classifier under zero-one loss
• The naive credal classifier
• Forecasting with imprecise probabilities
• Upper entropy of credal sets. Applications to credal classification
• Restricting the IDM for Classification
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