1704 search results - page 1 / 341 » Learning nonlinear dynamic models |
NECO
2002
13 years 4 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sh...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
ICPR
2010
IEEE
13 years 3 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...
JMLR
2010
12 years 11 months ago
2010
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...