IJON
2007
13 years 11 months ago
2007
In this paper, a global methodology for the long-term prediction of time series is proposed. This methodology combines direct prediction strategy and sophisticated input selection...
ESANN
2008
14 years 1 months ago
2008
Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the ta...
ICANN
2005
Springer
14 years 5 months ago
2005
Springer
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
ASPDAC
2006
ACM
14 years 5 months ago
2006
ACM
- The performance of Network-on-Chip (NoC) largely depends on the underlying routing techniques, which have two constituencies: output selection and input selection. Previous resea...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...