1704 search results - page 26 / 341 » Learning nonlinear dynamic models |
ICASSP
2011
IEEE
13 years 5 days ago
2011
IEEE
We consider the task of acoustic system identification, where the input signal undergoes a memoryless nonlinear transformation before convolving with an unknown linear system. We...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
ESSMAC
2003
Springer
14 years 1 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...
NIPS
2004
13 years 9 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
ICRA
2007
IEEE
14 years 2 months ago
2007
IEEE
— This paper reports the analytical development and preliminary experimental evaluation of a class of exact nonlinear full state model-based observers for underwater vehicle navi...