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1 Ergebnisse
1
Genetic Algorithm for Feature and Latent Variable Selection..:
, In:
2021 IEEE Congress on Evolutionary Computation (CEC)
,
Robinson, Demelza
;
Chen, Qi
;
Xue, Bing
... - p. 272-279 , 2021
Link:
https://doi.org/10.1109/CEC45853.2021.9504794
RT T1 <cTitle>2021 IEEE Congress on Evolutionary Computation (CEC)</cTitle>: T1 <Title>Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9504794&Exemplar=1&LAN=DE A1 Robinson, Demelza A1 Chen, Qi A1 Xue, Bing A1 Killeen, Daniel A1 Fraser-Miller, Sara A1 Gordon, Keith C A1 Oey, Indrawati A1 Zhang, Mengjie YR 2021 K1 Spectroscopy K1 Input variables K1 Biological system modeling K1 Computational modeling K1 Quality control K1 Evolutionary computation K1 Data models K1 Genetic Algorithm K1 Feature Selection K1 Partial Least Squares Regression K1 Vibrational Spectroscopy SP 272 OP 279 LK http://dx.doi.org/https://doi.org/10.1109/CEC45853.2021.9504794 DO https://doi.org/10.1109/CEC45853.2021.9504794 SF ELIB - SuUB Bremen
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