67 search results - page 2 / 14 » Mixtures of Predictive Linear Gaussian Models for Nonlinear,... |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
NIPS
1993
13 years 6 months ago
1993
We describe an extension to the Mixture of Experts architecture for modelling and controlling dynamical systems which exhibit multiple modesof behavior. This extension is based on...
ITCC
2003
IEEE
13 years 10 months ago
2003
IEEE
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
ESSMAC
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
ICPR
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...