47 search results - page 2 / 10 » A Regularization Approach to Nonlinear Variable Selection |
ESANN
2008
13 years 6 months ago
2008
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
ICDM
2007
IEEE
13 years 6 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
AAAI
2007
13 years 7 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...