544 search results - page 12 / 109 » Active Learning with Model Selection in Linear Regression |
COLT
1995
Springer
14 years 4 days ago
1995
Springer
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
IPMI
2011
Springer
13 years 10 hour ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
CSDA
2007
13 years 8 months ago
2007
Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence...
IJCNN
2006
IEEE
14 years 2 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...