IJON
2007
13 years 10 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 11 days 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 4 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 4 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...