2825 search results - page 64 / 565 » Robust Feature Selection Algorithms |
ICML
2003
IEEE
14 years 1 months ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
AUSAI
2007
Springer
13 years 12 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
PR
2008
13 years 7 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 ...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...