168 search results - page 7 / 34 » Boosting ridge regression |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
AAAI
2011
12 years 7 months ago
2011
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...
COLT
2000
Springer
14 years 3 days ago
2000
Springer
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
HICSS
2008
IEEE
14 years 2 months ago
2008
IEEE
The purpose of this research is to examine whether outcome controls of group work (i.e. time pressure and reward) trigger psychological factors (i.e. distraction, motivation, and ...