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Learning rates of least-square regularized regression with strongly mixing observation.
Yongquan Zhang
Feilong Cao
Canwei Yan
Published in:
Int. J. Mach. Learn. Cybern. (2012)
Keyphrases
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learning rate
least squares
gaussian kernels
regularized regression
learning algorithm
convergence rate
covering numbers
uniform convergence
convergence speed
learning tasks
low rank
kernel principal component analysis
data sets
optical flow
reproducing kernel hilbert space
gaussian kernel
feature space