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Near-optimal deep neural network approximation for Korobov functions with respect to L
p
and H
1
norms
Yahong Yang
,
Yulong Lu
School of Mathematics
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'Near-optimal deep neural network approximation for Korobov functions with respect to L
p
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1
norms'. Together they form a unique fingerprint.
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Keyphrases
Deep Neural Network
100%
Near-optimal
100%
Rate of Approximation
100%
Neural Network Approximation
100%
Neural Network
50%
Convergence Rate
50%
Lp-norm
50%
Approximation Bound
50%
Superconvergence
50%
Hypercube
50%
Continuous Function
50%
VC-dimension
50%
Optimal Rate
50%
Non-asymptotic
50%
Convergence Feature
50%
Function Approximator
50%
Mathematics
Deep Neural Network
100%
Asymptotics
50%
Continuous Function
50%
VC Dimension
50%
Dimensional Hypercube
50%
Neural Network
50%
Rate of Convergence
50%