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Comparing different metaheuristics for model selection in a..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Wurth, Jonathan
;
Heider, Michael
;
Stegherr, Helena
.. - p. 316-319 , 2022
Link:
https://dl.acm.org/doi/10.1145/3520304.3529015
RT T1
Proceedings of the Genetic and Evolutionary Computation Conference Companion
: T1
Comparing different metaheuristics for model selection in a supervised learning classifier system
UL https://suche.suub.uni-bremen.de/peid=acm-3529015&Exemplar=1&LAN=DE A1 Wurth, Jonathan A1 Heider, Michael A1 Stegherr, Helena A1 Sraj, Roman A1 Hähner, Jörg PB ACM YR 2022 K1 genetic algorithms K1 learning classifier systems K1 metaheuristics K1 regression K1 rule-based learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic algorithms K1 Rule learning SP 316 OP 319 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3529015 DO https://dl.acm.org/doi/10.1145/3520304.3529015 SF ELIB - SuUB Bremen
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