38 search results - page 4 / 8 » Nonlinear prediction of spatio-temporal time series |
112
click to vote
IJCNN
2008
IEEE
15 years 3 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
70
Voted
MLDM
2009
Springer
15 years 4 months ago
2009
Springer
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
: Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is very difficult to describe the long-term network traffic behavior in a large-...
IDEAL
2004
Springer
15 years 2 months ago
2004
Springer
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...