1617 search results - page 11 / 324 » Using Gaussian Processes to Optimize Expensive Functions |
ESSMAC
2003
Springer
14 years 21 days ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
ESANN
2006
13 years 9 months ago
2006
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
IPSN
2010
Springer
14 years 2 months ago
2010
Springer
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
NIPS
2008
13 years 9 months ago
2008
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...