14 search results - page 2 / 3 » Smoothing splines estimators in functional linear regression... |
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
CSDA
2007
13 years 5 months ago
2007
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
NECO
2000
13 years 5 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
MA
2010
Springer
13 years 1 days ago
2010
Springer
This work proposes to generalize the method of cokriging when data are spatially sampled curves. A spatial functional linear model is constructed including spatial dependencies be...
ESANN
2004
13 years 6 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...