4981 search results - page 34 / 997 » Dependent Gaussian Processes |
ESSMAC
2003
Springer
15 years 2 months 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...
ESSMAC
2003
Springer
15 years 2 months ago
2003
Springer
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
AUSAI
2008
Springer
14 years 11 months ago
2008
Springer
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...