19 search results - page 1 / 4 » Input selection and shrinkage in multiresponse linear regres... |
CSDA
2007
13 years 4 months ago
2007
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
NCI
2004
13 years 6 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...