5802 search results - page 39 / 1161 » Parallelizing Feature Selection |
JMLR
2010
14 years 4 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
ACIVS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper proposes a general feature selection approach for real-time image matching systems. To demonstrate the idea's effectiveness, we focus on the issue of rotational in...
ISMDA
2005
Springer
15 years 3 months ago
2005
Springer
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
PR
2008
14 years 9 months ago
2008
Feature selection is an important preprocessing step in mining high-dimensional data. Generally, supervised feature selection methods with supervision information are superior to ...