37 search results - page 1 / 8 » Feature selection in unsupervised learning via evolutionary ... |
KDD
2000
ACM
13 years 8 months ago
2000
ACM
IDA
2002
Springer
13 years 5 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
ICML
1997
IEEE
13 years 8 months ago
1997
IEEE
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
ICDAR
2003
IEEE
13 years 10 months ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
EVOW
2004
Springer
13 years 10 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...