Comments on ``Imprecise probability models for learning multinomial distributions from data. applications to learning credal networks

DOI10.1016/j.ijar.2014.05.001zbMath1407.68420OpenAlexW2038735881MaRDI QIDQ2509610

Marco Zaffalon, Giorgio Corani

Publication date: 29 July 2014

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

Full work available at URL: https://doi.org/10.1016/j.ijar.2014.05.001

zbMATH Keywords

imprecise probabilitycredal classificationimprecise Dirichlet modellearning probabilitiesnear-ignorance

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Parametric inference and fuzziness (62F86)

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Cites Work

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• A model of prior ignorance for inferences in the one-parameter exponential family
• Imprecise probabilities for representing ignorance about a parameter
• Limits of learning about a categorical latent variable under prior near-ignorance
• An introduction to the imprecise Dirichlet model for multinomial data
• Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks
• Restricting the IDM for Classification

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