Results 231 to 240 of about 41,711 (262)

Singular numbers of smooth kernels

Mathematical Proceedings of the Cambridge Philosophical Society, 1988
In [12] we elaborate the vague principle that the behaviour at infinity of the decreasing sequence of singular numbers sn(K) of a Hilbert–Schmidt kernel K is at least as good as that of the sequence {n−1/qω(n−1;K)}, where ωp is an Lp-modulus of continuity of K and q = p/(p − 1), where 1 ≤ p ≤ 2.
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Deconvolution with arbitrarily smooth kernels

Statistics & Probability Letters, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Entropic kernels for data smoothing

Statistics & Probability Letters, 2013
Abstract Data smoothing or regression kernels based on locational entropy embody the principle that observations towards the extremes of the chosen data window should provide less information than those at the midpoint. Weight patterns can be flexible, depending on the choice of prior information density.
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Improved Kernel Learning Using Smoothing Parameter Based Linear Kernel

2003
This article introduces a neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [2], this architecture allows an autonomous robot to learn how to imitate a sequence of movements with the correct timing. The results show that the network model is fast, accurate and robust.
A. B. M. Shawkat Ali, Ajith Abraham
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Kernel Smoothing.

Biometrics, 1998
A. W. Bowman, M. P. Wand, M. C. Jones
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Smooth Densities and Heat Kernels

2019
We discuss the existence of the smooth density of ‘nondegenerate’ diffusions and jump-diffusions determined by SDEs. We will use the Malliavin calculus studied in the previous chapter. In Sects. 6.1, 6.2, and 6.3, we consider diffusion processes. It will be shown that any solution of a continuous SDE defined in Chap.
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Numerical approximation of modified Kawahara equation using Kernel smoothing method

Mathematics and Computers in Simulation, 2022
Aiman Zara
exaly  

Kernel Smoothing

1994
Matt P. Wand, M. Chris Jones
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Kernel Smoothing in Matlab

2012
Ivanka Horová, Jan Koláček, Jiří Zelinka   +2 more
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AUTOMATED NONLINEAR SYSTEM MODELING WITH MULTIPLE FUZZY NEURAL NETWORKS AND KERNEL SMOOTHING

International Journal of Neural Systems, 2010
Wen Yu, Xiaoou Li
exaly