1293 search results - page 21 / 259 » Modelling Smooth Paths Using Gaussian Processes |
CSDA
2004
13 years 10 months ago
2004
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
CVPR
2004
IEEE
15 years 28 days ago
2004
IEEE
We present a new variational framework for recovery of apparent diffusion coefficient (ADC) from High Angular Resolution Diffusion-weighted (HARD) MRI. The model approximates the ...
MP
2007
13 years 10 months ago
2007
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
NIPS
2003
14 years 8 days ago
2003
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
ICASSP
2009
IEEE
14 years 5 months ago
2009
IEEE
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...