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Approximation by multivariate Bernstein-Durrmeyer operators and learning rates of least-squares regularized regression with multivariate polynomial kernels.
Bing-Zheng Li
Published in:
J. Approx. Theory (2013)
Keyphrases
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gaussian kernels
least squares
polynomial kernels
learning rate
regression model
kernel function
learning algorithm
supervised learning
feature selection
feature space
scale space
reproducing kernel hilbert space