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Analysis of the Generalization Error: Empirical Risk Minimi..:
Berner, Julius
;
Grohs, Philipp
;
Jentzen, Arnulf
SIAM Journal on Mathematics of Data Science. 2 (2020) 3 - p. 631-657 , 2020
Link:
https://doi.org/10.1137/19m125649x
RT Journal T1 <Title>Analysis of the Generalization Error: Empirical Risk Minimization over Deep Artificial Neural Networks Overcomes the Curse of Dimensionality in the Numerical Approximation of Black--Scholes Partial Differential Equations</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1137_19m125649x&Exemplar=1&LAN=DE A1 Berner, Julius A1 Grohs, Philipp A1 Jentzen, Arnulf PB Society for Industrial & Applied Mathematics (SIAM) YR 2020 SN 2577-0187 JF SIAM Journal on Mathematics of Data Science VO 2 IS 3 SP 631 OP 657 LK http://dx.doi.org/https://doi.org/10.1137/19m125649x DO https://doi.org/10.1137/19m125649x SF ELIB - SuUB Bremen
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