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Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy.
Tizian Wenzel
Gabriele Santin
Bernard Haasdonk
Published in:
CoRR (2021)
Keyphrases
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data dependent
convergence rate
generalization bounds
reproducing kernel hilbert space
gaussian kernels
risk bounds
learning algorithm
learning rate
stopping criterion
global convergence
feature space
feature selection
worst case
dynamic programming
evolutionary algorithm
conjugate gradient
support vector