Performance enhancement‐based active learning sample selection method

Representative samples are important for multivariate calibration. The highly efficient selection of representative samples to be labelled can save money and time. Existing methods, such as Kennard‐Stone and net analyte signal selection, are usually based on the distance between candidate samples an...

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Veröffentlicht in:	Journal of chemometrics 2022-03, Vol.36 (3), p.n/a
Hauptverfasser:	He, Zhonghai, Song, Shijie, Shen, Kun, Zhang, Xiaofang
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning bootstrap modelling Calibration Feature extraction feature space Learning Optimization parsimonious sample selection Performance enhancement set representation
Online-Zugang:	Volltext
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