58 search results - page 1 / 12 » Eliminating redundancy and irrelevance using a new MLP-based... |
PR
2006
13 years 4 months ago
2006
ICAPR
2009
Springer
13 years 10 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
MLDM
2007
Springer
13 years 10 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...
TKDE
2008
13 years 4 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 ...
ECAI
2010
Springer
13 years 1 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...