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On efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples.
Ben Adcock
Simone Brugiapaglia
Nick C. Dexter
Sebastian Moraga
Published in:
CoRR (2022)
Keyphrases
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efficient algorithms for computing
high dimensional
training samples
low dimensional
data sets
low order
sparse data
small sample
high dimensional data
microarray data
training set
multiscale
level set
natural images
noisy data
variable selection
image processing