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This paper describes a simple and effective sample size prediction algorithm that conducts weighted fitting of learning curves. The algorithm outperformed an un-weighted algorithm described in previous literature. It can help researchers determine annotation sample size for supervised machine learning.
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Rosa L. Figueroa
University of California, Davis
Qing Zeng‐Treitler
United States Department of Veterans Affairs
Sasikiran Kandula
Norwegian Institute of Public Health
BMC Medical Informatics and Decision Making
SHILAP Revista de lepidopterología
Harvard University
University of Utah
Beth Israel Deaconess Medical Center
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Figueroa et al. (Wed,) studied this question.
synapsesocial.com/papers/69d7bb4bf39344339dd17d0b — DOI: https://doi.org/10.1186/1472-6947-12-8