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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:
SIAM/ASA J. Uncertain. Quantification (2016)
Keyphrases
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experimental design
gaussian process regression
polynomial approximation
gaussian process
gaussian processes
active learning
sample size
empirical studies
lower bound
feature selection
semi supervised
machine learning
latent variables