Results 281 to 290 of about 45,420 (307)
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Improved Kernel Learning Using Smoothing Parameter Based Linear Kernel
2003This 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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Smooth Densities and Heat Kernels
2019We 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, 2022Aiman Zara, Fayyaz Ahmad
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Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization
Knowledge-Based Systems, 2022Zhao Kang, Zenglin Xu, Shudong Huang
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Cortical thickness analysis in autism with heat kernel smoothing
NeuroImage, 2005Moo K Chung +2 more
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A universally acceptable smoothing factor for kernel density estimates
Annals of Statistics, 1996Luc Devroye, Gabor Lugosi
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AUTOMATED NONLINEAR SYSTEM MODELING WITH MULTIPLE FUZZY NEURAL NETWORKS AND KERNEL SMOOTHING
International Journal of Neural Systems, 2010Wen Yu, Xiaoou Li
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Nonparametric fuzzy regression—k-NN and kernel smoothing techniques
Computers and Mathematics With Applications, 1999Chi-Bin Cheng, E S Lee
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