Ground truthing from multi-rater labeling with three-way decision and possibility theory

DOI10.1016/j.ins.2020.09.049zbMath1475.68264OpenAlexW3090400417MaRDI QIDQ2054058

Davide Ciucci, Carl-Magnus Svensson, Marc Thilo Figge, Federico Cabitza, Andrea Campagner

Publication date: 30 November 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.09.049

zbMATH Keywords

uncertaintypossibility theorymachine learningthree-way decisionmulti-rater

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

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Cites Work

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• Cost-sensitive sequential three-way decision modeling using a deep neural network
• Statistical reasoning with set-valued information: ontic vs. epistemic views
• Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization
• An Outline of a Theory of Three-Way Decisions

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