Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes
Machine learning applications heavily depend on labeled data provided by domain experts to train accurate models. However, the cost and time constraints associated with expert labeling often make obtaining ground truth labels impractical. Crowdsourcing offers a cost-effective alternative for collect...
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Main Authors: | J. Gil-González, G. Daza-Santacoloma, D. Cárdenas-Peña, A. Orozco-Gutiérrez, A. Álvarez-Meza |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
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Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024021066 |
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