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1
Concerto: Leveraging Ensembles for Timely, Accurate Model T..:
, In:
2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
,
Budgaga, Walid
;
Malensek, Matthew
;
Pallickara, Sangmi Lee
. - p. 106-115 , 2020
Link:
https://doi.org/10.1109/BDCAT50828.2020.00024
RT T1 <cTitle>2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)</cTitle>: T1 <Title>Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9302548&Exemplar=1&LAN=DE A1 Budgaga, Walid A1 Malensek, Matthew A1 Pallickara, Sangmi Lee A1 Pallickara, Shrideep YR 2020 K1 Data models K1 Training K1 Computational modeling K1 Analytical models K1 Predictive models K1 Distributed databases K1 Partitioning algorithms K1 Distributed ensemble learning K1 voluminous datasets K1 parallel model training SP 106 OP 115 LK http://dx.doi.org/https://doi.org/10.1109/BDCAT50828.2020.00024 DO https://doi.org/10.1109/BDCAT50828.2020.00024 SF ELIB - SuUB Bremen
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