88 search results - page 10 / 18 » Gaussian process product models for nonparametric nonstation... |
SAC
2008
ACM
13 years 7 months ago
2008
ACM
For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
CSDA
2010
13 years 7 months ago
2010
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...