40 search results - page 3 / 8 » Feature Selection via Concave Minimization and Support Vecto... |
JMLR
2008
13 years 6 months ago
2008
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
ICNC
2005
Springer
13 years 11 months ago
2005
Springer
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
BMCBI
2010
13 years 6 months ago
2010
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
CVPR
2003
IEEE
14 years 8 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
ML
2008
ACM
13 years 6 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...