Comments on ``Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization

DOI10.1016/j.ijar.2014.04.014zbMath1407.68392OpenAlexW2036442996MaRDI QIDQ5971287

Sebastien Destercke

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.2014.04.014

zbMATH Keywords

learninguncertain datainferenceuncertain models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Fuzziness, and linear inference and regression (62J86)

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Cites Work

• Decision making under uncertainty using imprecise probabilities
• When upper probabilities are possibility measures
• Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization
• PROBABILITY INTERVALS: A TOOL FOR UNCERTAIN REASONING
• Extreme Points of the Credal Sets Generated by Elementary Comparative Probabilities
• Unnamed Item

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