892 search results - page 9 / 179 » On Feature Selection through Clustering |
TKDE
2008
13 years 7 months ago
2008
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
ISDA
2009
IEEE
14 years 2 months ago
2009
IEEE
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
JMM2
2008
13 years 7 months ago
2008
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
ACL
2008
13 years 9 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...