Name
Title | ||
|---|---|---|
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection |
Abstract | ||
|---|---|---|
Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution proposes a Cooperative Coevolution model for simultaneous performing some data reduction processes in classification with nearest neighbours methods through feature and instance selection. In order to check its performance, we have compared the proposal with other evolutionary approaches for performing data reduction. Results have been analyzed and contrasted by using non-parametric statistical tests, finally showing that the proposed model outperforms the non-cooperative evolutionary techniques. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02319-4_67 | HAIS |
Keywords | Field | DocType |
great success,non-cooperative evolutionary technique,cooperative coevolution model,data reduction,coevolutionary algorithms,evolutionary approach,combinatorial problem,evolutionary computation,feature selection,first study,cooperative coevolution,data reduction process,evolutionary computing,non parametric statistics | Feature selection,Pattern recognition,Computer science,Cooperative coevolution,Evolutionary computation,Artificial intelligence,Instance selection,Machine learning,Statistical hypothesis testing,Data reduction | Conference |
Volume | ISSN | Citations |
5572 | 0302-9743 | 31 |
PageRank | References | Authors |
1.41 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joaquín Derrac | 1 | 2552 | 64.42 |
| Salvador García | 2 | 4151 | 118.45 |
| Francisco Herrera | 3 | 27391 | 1168.49 |