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1 Ergebnisse
1
Feature Selection in Ozone Feature Space Impacts Performanc..:
, In:
2024 International Conference on Current Trends in Advanced Computing (ICCTAC)
,
Jailani N, Mohamed Abdul Kader
;
Mara, Geeta C
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICCTAC61556.2024.10581262
RT T1 <cTitle>2024 International Conference on Current Trends in Advanced Computing (ICCTAC)</cTitle>: T1 <Title>Feature Selection in Ozone Feature Space Impacts Performance in Gradient Boosting, Random Forest, Xgboost and Adaptive Boosting Regressors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10581262&Exemplar=1&LAN=DE A1 Jailani N, Mohamed Abdul Kader A1 Mara, Geeta C YR 2024 K1 Gases K1 Adaptation models K1 Accuracy K1 Atmospheric modeling K1 Computational modeling K1 Predictive models K1 Feature extraction K1 Ozone Prediction K1 Feature Selection K1 Regressors K1 Environmental Machine Learning K1 AQ-Bench SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCTAC61556.2024.10581262 DO https://doi.org/10.1109/ICCTAC61556.2024.10581262 SF ELIB - SuUB Bremen
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