122 search results - page 8 / 25 » Nonstationary Covariance Functions for Gaussian Process Regr... |
178
click to vote
JMLR
2010
15 years 23 days ago
2010
Bandit algorithms are concerned with trading exploration with exploitation where a number of options are available but we can only learn their quality by experimenting with them. ...
155
click to vote
IPMI
2001
Springer
16 years 6 months ago
2001
Springer
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
143
click to vote
CSDA
2007
15 years 6 months ago
2007
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
189
click to vote
ICASSP
2009
IEEE
16 years 22 days ago
2009
IEEE
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
138
click to vote
NIPS
2007
15 years 7 months ago
2007
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...