22 search results - page 2 / 5 » Travel-Time Prediction Using Gaussian Process Regression: A ... |
NIPS
2007
13 years 6 months ago
2007
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
CDC
2008
IEEE
13 years 7 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...
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...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
BMVC
2010
13 years 3 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...