680 search results - page 1 / 136 » A Comparative Study of Threshold-Based Feature Selection Tec... |
GRC
2010
IEEE
13 years 2 months ago
2010
IEEE
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
ICARIS
2005
Springer
13 years 10 months ago
2005
Springer
The (randomized) real-valued negative selection algorithm is an anomaly detection approach, inspired by the negative selection immune system principle. The algorithm was proposed t...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
DMIN
2007
13 years 6 months ago
2007
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...