440 search results - page 43 / 88 » Learning Nonlinear Dynamic Models from Non-sequenced Data |
IJIT
2004
13 years 9 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
ICRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— Legged robots are by nature strongly non-linear, high-dimensional systems whose full complexity permits neither tractable mathematical analysis nor comprehensive numerical stud...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
NIPS
2008
13 years 9 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...