160 search results - page 12 / 32 » Model Selection for Small Sample Regression |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
TCBB
2010
13 years 5 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
WSC
2007
13 years 9 months ago
2007
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...
FCSC
2007
13 years 7 months ago
2007
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
The focus of this paper is on how to select a small sample of examples for labeling that can help us to evaluate many different classification models unknown at the time of sampl...