544 search results - page 46 / 109 » Active Learning with Model Selection in Linear Regression |
JMLR
2011
13 years 3 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
ICCS
2007
Springer
14 years 2 months ago
2007
Springer
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
GECCO
2009
Springer
13 years 6 months ago
2009
Springer
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...