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TrimTuner: Efficient Optimization of Machine Learning Jobs ..:
, In:
2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)
,
Mendes, Pedro
;
Casimiro, Maria
;
Romano, Paolo
. - p. 1-8 , 2020
Link:
https://doi.org/10.1109/MASCOTS50786.2020.9285971
RT T1 <cTitle>2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)</cTitle>: T1 <Title>TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9285971&Exemplar=1&LAN=DE A1 Mendes, Pedro A1 Casimiro, Maria A1 Romano, Paolo A1 Garlan, David YR 2020 SN 2375-0227 K1 Training K1 Analytical models K1 Computational modeling K1 Decision trees K1 Acceleration K1 Optimization K1 Tuning K1 Machine Learning K1 Cloud optimization K1 Subsampling K1 Bayesian Optimization SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/MASCOTS50786.2020.9285971 DO https://doi.org/10.1109/MASCOTS50786.2020.9285971 SF ELIB - SuUB Bremen
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