Results 261 to 270 of about 165,608 (287)

Adaptive kernel smoothing regression using vector quantization

2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS), 2011
A method for performing kernel smoothing regression in an online adaptive manner is presented. The approach proposed is to apply kernel smoothing regression on an incremental estimation of the (evolving) probability distribution of the incoming data stream rather than the sequence of observations.
Federico Montesino Pouzols, Amaury Lendasse   +1 more
openaire   +1 more source

Kernel Smoothing.

Biometrics, 1998
A. W. Bowman, M. P. Wand, M. C. Jones
openaire   +1 more source

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.
openaire   +1 more source

Kernel Smoothing

1994
M. P. Wand, M. C. Jones
openaire   +1 more source

An efficient meshfree gradient smoothing collocation method (GSCM) using reproducing kernel approximation

Computer Methods in Applied Mechanics and Engineering, 2021
Lihua Wang, Yan Gu, Chuanzeng Zhang
exaly  

Kernel Smoothing Methods

2008
Trevor Hastie, Robert Tibshirani, Jerome Friedman   +2 more
openaire   +1 more source

Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization

Knowledge-Based Systems, 2022
Zenglin Xu, Zhao Kang
exaly  

Kernel Smoothing in Matlab

2012
Ivanka Horová, Jan Koláček, Jiří Zelinka   +2 more
openaire   +1 more source

AUTOMATED NONLINEAR SYSTEM MODELING WITH MULTIPLE FUZZY NEURAL NETWORKS AND KERNEL SMOOTHING

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

Cortical thickness analysis in autism with heat kernel smoothing

NeuroImage, 2005
Moo K Chung, Richard J Davidson
exaly