5 search results - page 1 / 1 » Robust variable selection using least angle regression and e... |
CSDA
2007
13 years 4 months ago
2007
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
AUSAI
2007
Springer
13 years 8 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
ECML
2005
Springer
13 years 10 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
EOR
2007
13 years 4 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
BMCBI
2008
13 years 4 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...