Name
Abstract | ||
|---|---|---|
In this paper a method for feature selection based on analysis of variance and using functional networks as induction algorithm is presented. It follows a backward selection search, but several features are discarded in the same step. The method proposed is compared with two SVM based methods, obtaining a smaller set of features with a similar accuracy. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11875581_123 | IDEAL |
Keywords | Field | DocType |
feature selection,induction algorithm,functional network,similar accuracy,smaller set,selection search,analysis of variance | Feature selection,Pattern recognition,Computer science,Support vector machine,Functional networks,Mean squared error,Artificial intelligence,Network analysis,Machine learning,Analysis of variance | Conference |
Volume | ISSN | ISBN |
4224 | 0302-9743 | 3-540-45485-3 |
Citations | PageRank | References |
3 | 0.45 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noelia Sánchez-Maroño | 1 | 406 | 25.39 |
| María Caamaño-Fernández | 2 | 3 | 0.45 |
| Enrique Castillo | 3 | 555 | 59.86 |
| Amparo Alonso-Betanzos | 4 | 885 | 76.98 |