Categorising the world into local climate zones: towards quantifying labelling uncertainty for machine learning models

DOI10.1093/jrsssc/qlad089MaRDI QIDQ6576197

Xiao Xiang Zhu, Katharina Hechinger, Göran Kauermann

Publication date: 22 July 2024

Published in: Journal of the Royal Statistical Society. Series C. Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

mixture modelsexpert evaluationslabelling uncertaintymultiple labellersstochastic expectation maximisation

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

This page was built for publication: Categorising the world into local climate zones: towards quantifying labelling uncertainty for machine learning models