111 search results - page 6 / 23 » Dynamical Modeling with Kernels for Nonlinear Time Series Pr... |
PKDD
2009
Springer
14 years 2 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...
SIGMETRICS
2003
ACM
14 years 27 days ago
2003
ACM
Since web workloads are known to vary dynamically with time, in this paper, we argue that dynamic resource allocation techniques are necessary to provide guarantees to web applicat...
NIPS
2000
13 years 9 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
NPL
2011
12 years 10 months ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
TFS
2008
13 years 7 months ago
2008
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...