200 search results - page 1 / 40 » Efficient Feature Selection in the Presence of Multiple Feat... |
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
AIRS
2008
Springer
13 years 7 months ago
2008
Springer
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...
ISDA
2010
IEEE
13 years 2 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
BMCBI
2004
13 years 4 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
JMLR
2010
12 years 11 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...