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Kernel Computations from Large-Scale Random Features Obtain..:
, In:
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Ohana, Ruben
;
Wacker, Jonas
;
Dong, Jonathan
... - p. 9294-9298 , 2020
Link:
https://doi.org/10.1109/ICASSP40776.2020.9053272
RT T1 <cTitle>ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9053272&Exemplar=1&LAN=DE A1 Ohana, Ruben A1 Wacker, Jonas A1 Dong, Jonathan A1 Marmin, Sebastien A1 Krzakala, Florent A1 Filippone, Maurizio A1 Daudet, Laurent YR 2020 SN 2379-190X K1 Kernel methods K1 nonparametric estimation K1 optical computing K1 random features K1 kernel ridge regression SP 9294 OP 9298 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP40776.2020.9053272 DO https://doi.org/10.1109/ICASSP40776.2020.9053272 SF ELIB - SuUB Bremen
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