Name
Abstract | ||
|---|---|---|
•We propose a novel dynamic ensemble selection framework.•The framework selects classifiers with decision boundaries crossing the local region.•Results demonstrate the proposed framework outperform current techniques. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.patcog.2017.06.030 | Pattern Recognition |
Keywords | Field | DocType |
Ensemble of classifiers,Dynamic ensemble selection,Classifier competence | Pattern recognition,Ensemble selection,Random subspace method,Artificial intelligence,Mathematics,Machine learning,Pruning | Journal |
Volume | Issue | ISSN |
72 | C | 0031-3203 |
Citations | PageRank | References |
15 | 0.59 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dayvid V. R. Oliveira | 1 | 19 | 1.66 |
| George D. C. Cavalcanti | 2 | 451 | 52.60 |
| Robert Sabourin | 3 | 908 | 61.89 |