121 search results - page 3 / 25 » Relevant and Redundant Feature Analysis with Ensemble Classi... |
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
IJON
2006
13 years 5 months ago
2006
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
TEC
2008
13 years 5 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
MCS
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...