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1
A Novel Feature Selection with Many-Objective Optimization ..:
, In:
2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
,
Shu, Lingxuan
;
He, Fazhi
;
Hu, Xun
. - p. 684-689 , 2021
Link:
https://doi.org/10.1109/CSCWD49262.2021.9437707
RT T1 <cTitle>2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)</cTitle>: T1 <Title>A Novel Feature Selection with Many-Objective Optimization and Learning Mechanism</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9437707&Exemplar=1&LAN=DE A1 Shu, Lingxuan A1 He, Fazhi A1 Hu, Xun A1 Li, Haoran YR 2021 K1 Learning systems K1 Extreme learning machines K1 Conferences K1 Redundancy K1 Machine learning K1 Evolutionary computation K1 Filtering algorithms K1 optimization driven design K1 intelligent cloud manufacturing K1 collaborative processing of big data K1 feature selection K1 classification K1 many-objective optimization K1 extreme learning machine SP 684 OP 689 LK http://dx.doi.org/https://doi.org/10.1109/CSCWD49262.2021.9437707 DO https://doi.org/10.1109/CSCWD49262.2021.9437707 SF ELIB - SuUB Bremen
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