2200 search results - page 63 / 440 » Objective reduction using a feature selection technique |
FUIN
2010
13 years 4 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...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
JSA
2006
13 years 9 months ago
2006
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
SGAI
2009
Springer
14 years 1 months ago
2009
Springer
Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The fa...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...