Learning from crowds with sparse and imbalanced annotations

DOI10.1007/s10994-022-06185-warXiv2107.05039OpenAlexW3177685795WikidataQ114389342 ScholiaQ114389342MaRDI QIDQ6174480

Y. Shi, Sheng-Jun Huang, Shao-Yuan Li

Publication date: 14 July 2023

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.05039

zbMATH Keywords

crowdsourcingself-trainingclass-imbalancesparse annotations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Dynamic Bayesian Combination of Multiple Imperfect Classifiers
• Iterative Reclassification Procedure for Constructing an Asymptotically Optimal Rule of Allocation in Discriminant Analysis
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