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1
Combining learning and optimization for transprecision comp..:
, In:
Proceedings of the 17th ACM International Conference on Computing Frontiers
,
Borghesi, Andrea
;
Tagliavini, Giuseppe
;
Lombardi, Michele
.. - p. 10-18 , 2020
Link:
https://dl.acm.org/doi/10.1145/3387902.3392615
RT T1 <cTitle>Proceedings of the 17th ACM International Conference on Computing Frontiers</cTitle>: T1 <Title>Combining learning and optimization for transprecision computing</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3392615&Exemplar=1&LAN=DE A1 Borghesi, Andrea A1 Tagliavini, Giuseppe A1 Lombardi, Michele A1 Benini, Luca A1 Milano, Michela PB ACM YR 2020 K1 empirical model learning K1 transprecision computing K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Active learning settings K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression K1 Mathematics of computing K1 Mathematical analysis K1 Mathematical optimization K1 Mixed discrete-continuous optimization K1 Hardware K1 Emerging technologies K1 Machine learning approaches K1 Neural networks SP 10 OP 18 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3387902.3392615 DO https://dl.acm.org/doi/10.1145/3387902.3392615 SF ELIB - SuUB Bremen
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