1438 search results - page 26 / 288 » Feature Selection and Effective Classifiers |
JMLR
2010
13 years 3 months ago
2010
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Human-area segmentation is a major issue in video surveillance. Many existing methods estimate individual human areas from the foreground area obtained by background subtraction, ...
DEXAW
2007
IEEE
14 years 3 months ago
2007
IEEE
The categorization of documents is traditionally topic-based. This paper presents a complementary analysis of research and experiments on genre to show that encouraging results ca...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...