Label distribution learning with noisy labels via three-way decisions

DOI10.1016/j.ijar.2022.08.009OpenAlexW4292117042WikidataQ114667540 ScholiaQ114667540MaRDI QIDQ2092443

Xiuyi Jia, Yuqing Lu, Weiwei Li, Lei Chen

Publication date: 2 November 2022

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

Full work available at URL: https://doi.org/10.1016/j.ijar.2022.08.009

zbMATH Keywords

noisy datathree-way decisionslabel distribution learning

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Editorial. Uncertainty and three-way decision in data science

Uses Software

• Adam

Cites Work

• Three-way cognitive concept learning via multi-granularity
• Game-Theoretic Rough Sets
• Deep Label Distribution Learning With Label Ambiguity

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