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Prediction of neural network performance by phenotypic mode..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Hagg, Alexander
;
Zaefferer, Martin
;
Stork, Jörg
. - p. 1576-1582 , 2019
Link:
https://dl.acm.org/doi/10.1145/3319619.3326815
RT T1
Proceedings of the Genetic and Evolutionary Computation Conference Companion
: T1
Prediction of neural network performance by phenotypic modeling
UL https://suche.suub.uni-bremen.de/peid=acm-3326815&Exemplar=1&LAN=DE A1 Hagg, Alexander A1 Zaefferer, Martin A1 Stork, Jörg A1 Gaier, Adam PB ACM YR 2019 K1 distance metrics K1 neural networks K1 surrogate models K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Kernel methods K1 Bio-inspired approaches K1 Genetic algorithms K1 Neural networks SP 1576 OP 1582 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3319619.3326815 DO https://dl.acm.org/doi/10.1145/3319619.3326815 SF ELIB - SuUB Bremen
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