1583 search results - page 37 / 317 » Stability of Feature Selection Algorithms |
IWBRS
2005
Springer
14 years 2 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
ESANN
2006
13 years 10 months ago
2006
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
AI
2009
Springer
14 years 3 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
TKDE
2008
13 years 8 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 ...
AICT
2005
IEEE
14 years 2 months ago
2005
IEEE
The choice of the scheduling algorithm is a major design criteria of a switch. Whereas it is known that maximum weight matching algorithms guarantee the stability of an input queu...