513 search results - page 5 / 103 » On Model Selection Consistency of Lasso |
CSDA
2007
13 years 8 months ago
2007
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
CHI
2008
ACM
14 years 8 months ago
2008
ACM
Selection is a fundamental task in interactive applications, typically performed by clicking or lassoing items of interest. However, users may require more nuanced forms of select...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
SCIA
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
BMCBI
2010
13 years 8 months ago
2010
Background: High-throughput technologies have led to a new era of proteomics. Although protein microarray experiments are becoming more common place there are a variety of experim...