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1
A Generalized Framework for Population Based Training:
, In:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Li, Ang
;
Spyra, Ola
;
Perel, Sagi
... - p. 1791-1799 , 2019
Link:
https://dl.acm.org/doi/10.1145/3292500.3330649
RT T1 <cTitle>Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>A Generalized Framework for Population Based Training</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3330649&Exemplar=1&LAN=DE A1 Li, Ang A1 Spyra, Ola A1 Perel, Sagi A1 Dalibard, Valentin A1 Jaderberg, Max A1 Gu, Chenjie A1 Budden, David A1 Harley, Tim A1 Gupta, Pramod PB ACM YR 2019 K1 black-box optimization K1 evolutionary algorithms K1 neural networks K1 population based training K1 speech synthesis K1 wavenet K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Bio-inspired approaches K1 Genetic algorithms K1 Parallel computing methodologies K1 Parallel algorithms K1 Massively parallel algorithms SP 1791 OP 1799 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3292500.3330649 DO https://dl.acm.org/doi/10.1145/3292500.3330649 SF ELIB - SuUB Bremen
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