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Boosting the convergence of a GA-based wrapper for feature ..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Gómez-López, Juan Carlos
;
Escobar, Juan José
;
Díaz, Antonio Francisco
... - p. 431-434 , 2022
Link:
https://dl.acm.org/doi/10.1145/3520304.3528800
RT T1
Proceedings of the Genetic and Evolutionary Computation Conference Companion
: T1
Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data
UL https://suche.suub.uni-bremen.de/peid=acm-3528800&Exemplar=1&LAN=DE A1 Gómez-López, Juan Carlos A1 Escobar, Juan José A1 Díaz, Antonio Francisco A1 Damas, Miguel A1 Gil-Montoya, Francisco A1 González, Jesús PB ACM YR 2022 K1 k-NN K1 EEG classification K1 energy-aware computing K1 feature selection K1 genetic algorithm K1 high-dimensional data K1 Hardware K1 Power and energy K1 Power estimation and optimization K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Feature selection K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic algorithms K1 Applied computing K1 Life and medical sciences K1 Bioinformatics SP 431 OP 434 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3528800 DO https://dl.acm.org/doi/10.1145/3520304.3528800 SF ELIB - SuUB Bremen
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