512 search results - page 30 / 103 » Prediction intervals for regression models |
EAAI
2006
13 years 10 months ago
2006
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
ICAS
2009
IEEE
14 years 4 months ago
2009
IEEE
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
CSDA
2007
13 years 10 months ago
2007
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
MA
2010
Springer
13 years 8 months ago
2010
Springer
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
NIPS
2003
13 years 11 months ago
2003
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...