414 search results - page 27 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
BIBM
2009
IEEE
14 years 2 months ago
2009
IEEE
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
ISMIS
2003
Springer
14 years 22 days ago
2003
Springer
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
GRC
2008
IEEE
13 years 8 months ago
2008
IEEE
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...