3647 search results - page 158 / 730 » Feature Selection for SVMs |
BMCBI
2006
13 years 9 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
ICAPR
2009
Springer
14 years 3 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
HAIS
2009
Springer
13 years 7 months ago
2009
Springer
This paper presents an intelligent diagnostic supporting system