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Sparse solutions of the kernel herding algorithm by improved gradient approximation
While the computational efficiency of the algorithm and stability of the output quadrature formulas are advantages of this method, the convergence speed of the integration error for a given number of nodes is slow compared to that of other quadrature methods.
Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
In this study, we focus on the adaptivity of deep learning; consequently, we treat the variable exponent Besov space, which has a different smoothness depending on the input location $x$.
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