41 search results - page 1 / 9 » Dependent Gaussian Processes |
190
click to vote
JMLR
2010
15 years 24 days ago
2010
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
207
click to vote
JMLR
2010
15 years 24 days ago
2010
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
169
click to vote
JMLR
2010
15 years 24 days ago
2010
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
144
click to vote
JMLR
2010
15 years 24 days ago
2010
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
177
click to vote
JMLR
2010
15 years 25 days ago
2010
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...