544 search results - page 6 / 109 » Active Learning with Model Selection in Linear Regression |
NIPS
2004
13 years 10 months ago
2004
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
CSDA
2007
13 years 8 months ago
2007
R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested var...
CSL
2008
Springer
13 years 8 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
NIPS
2004
13 years 10 months ago
2004
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
ESANN
2006
13 years 10 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...