40 search results - page 7 / 8 » Feature Selection via Concave Minimization and Support Vecto... |
FGR
2004
IEEE
13 years 9 months ago
2004
IEEE
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
ICONIP
2007
13 years 7 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
BMCBI
2006
13 years 5 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
JMLR
2002
13 years 5 months ago
2002
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
ICIAR
2004
Springer
13 years 11 months ago
2004
Springer
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...