57 search results - page 1 / 12 » Kernel Predictive Linear Gaussian models for nonlinear stoch... |
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
AAAI
2006
13 years 6 months ago
2006
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
ICML
2006
IEEE
14 years 5 months 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...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
We use concepts from chaos theory in order to model
nonlinear dynamical systems that exhibit deterministic behavior.
Observed time series from such a system can be embedded
into...