20 search results - page 1 / 4 » Predictor estimation via Gaussian regression |
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
CDC
2008
IEEE
13 years 6 months ago
2008
IEEE
In this paper we propose a new nonparametric approach to identification of linear time invariant systems using subspace methods. The nonparametric paradigm to prediction of station...
CCECE
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...