326 search results - page 6 / 66 » Messy Genetic Algorithms for Subset Feature Selection |
TSE
2011
13 years 3 months ago
2011
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
ICDAR
2003
IEEE
14 years 1 months ago
2003
IEEE
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
PR
2008
13 years 8 months ago
2008
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
ICNC
2005
Springer
14 years 1 months ago
2005
Springer
The problem of automatic classification of ultrasound images is addressed. For texture analysis of ultrasound images quantifiable indexes, called features, are used. Classificat...