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ESEM
2008
ACM
13 years 9 months ago
Empirical evaluations of regression test selection techniques: a systematic review
Regression testing is the verification that previously functioning software remains after a change. In this paper we report on a systematic review of empirical evaluations of regr...
Emelie Engström, Mats Skoglund, Per Runeson
CIARP
2008
Springer
13 years 9 months ago
Feature Selection through Dynamic Mesh Optimization
This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature s...
Rafael Bello, Amilkar Puris, Rafael Falcón,...
CHI
2002
ACM
14 years 8 months ago
Comparing voodoo dolls and HOMER: exploring the importance of feedback in virtual environments
When creating techniques for manipulating objects at a distance in immersive virtual environments, researchers have primarily focused on increasing selection range, placement rang...
Jeffrey S. Pierce, Randy F. Pausch
BMCBI
2007
173views more  BMCBI 2007»
13 years 7 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 1 months ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...