1130 search results - page 15 / 226 » Feature Selection for Complex Patterns |
SAC
2008
ACM
13 years 10 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
GECCO
2005
Springer
14 years 4 months ago
2005
Springer
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
CIBCB
2005
IEEE
14 years 4 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
FUIN
2010
13 years 5 months ago
2010
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...