60 search results - page 4 / 12 » Nonlinear Time-Series Prediction with Missing and Noisy Data |
NIPS
2004
13 years 10 months ago
2004
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained i...
COMPLEX
2009
Springer
14 years 3 months ago
2009
Springer
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
ICASSP
2011
IEEE
13 years 21 days ago
2011
IEEE
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
IJON
2007
13 years 9 months ago
2007
The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CAT...