1440 search results - page 8 / 288 » Warped Gaussian Processes |
47
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The paper proposes a modification of the standard maximum a posteriori (MAP) method for the estimation of the parameters of a Gaussian process for cases where the process is supe...
ESANN
2006
14 years 11 months ago
2006
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
76
Voted
SAC
2011
ACM
14 years 4 months ago
2011
ACM
This article introduces a non parametric warping model for functional data. When the outcome of an experiment is a sample of curves, data can be seen as realizations of a stochast...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...