111 search results - page 16 / 23 » Dynamical Modeling with Kernels for Nonlinear Time Series Pr... |
INFOCOM
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper presents a novel approach to predict the Internet end-to-end delay using multiple-model (MM) methods. The basic idea of the MM method is to assume the system dynamics c...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
NN
2007
Springer
13 years 7 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...