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TRAINING SUBSET SELECTION METHODS FOR CALIBRATION WITH FLUORESCENCE SPECTROSCOPY IN SMALL DATA SETS OF SAMPLES
Author(s) -
М. А. Ходасевич,
N. A. Saskevich
Publication year - 2018
Publication title -
vescì nacyânalʹnaj akadèmìì navuk belarusì. seryâ fìzìka-matèmatyčnyh navuk
Language(s) - English
Resource type - Journals
eISSN - 2524-2415
pISSN - 1561-2430
DOI - 10.29235/1561-2430-2018-54-1-77-83
Subject(s) - principal component analysis , calibration , a priori and a posteriori , root mean square , range (aeronautics) , mathematics , multivariate statistics , statistics , pattern recognition (psychology) , biological system , computer science , artificial intelligence , materials science , physics , philosophy , epistemology , quantum mechanics , composite material , biology

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