566 search results - page 8 / 114 » Nonlinear Predictive Control with a Gaussian Process Model |
ICML
2006
IEEE
16 years 13 days ago
2006
IEEE
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
NIPS
2003
15 years 1 months ago
2003
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
145
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Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
102
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SOCO
2002
Springer
14 years 11 months ago
2002
Springer
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
CSDA
2004
14 years 11 months ago
2004
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...