TSE
2011
13 years 7 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...
PRIS
2008
14 years 1 months ago
2008
Abstract. This paper addresses the problem of feature selection within classification processes. We present a comparison of a feature subset selection with respect to two boosting ...
KDD
1995
ACM
14 years 4 months ago
1995
ACM
In the wrapperapproachto feature subset selection, a searchfor an optimalset of features is madeusingthe induction algorithm as a black box. Theestimated future performanceof the ...
GECCO
2006
Springer
14 years 4 months ago
2006
Springer
This poster paper addresses the problem of choosing sets of software components to combine in component
SGAI
2009
Springer
14 years 5 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...
DIS
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
EVOW
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
AVBPA
2005
Springer
14 years 6 months ago
2005
Springer
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
SAC
2006
ACM
14 years 6 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...