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Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation.
Alex A. Gorodetsky
Youssef M. Marzouk
Published in:
CoRR (2015)
Keyphrases
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experimental design
gaussian process regression
polynomial approximation
gaussian processes
active learning
gaussian process
empirical studies
sample size
lower bound
machine learning
class imbalance
feature selection
nearest neighbor
upper bound
maximum likelihood
markov random field
feature space
data sets