Name
Title | ||
|---|---|---|
AVC: Selecting discriminative features on basis of AUC by maximizing variable complementarity. |
Abstract | ||
|---|---|---|
Compared with other ROC-based feature selection approaches, our new approach can select fewer features and effectively improve the classification performance. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1468-4 | BMC Bioinformatics |
Keywords | Field | DocType |
AUC,Feature complementarity,Feature selection,ROC curve | Complementarity (molecular biology),Receiver operating characteristic,Feature selection,Pattern recognition,Biology,Feature (computer vision),Redundancy (engineering),Artificial intelligence,Bioinformatics,Discriminative model,Machine learning | Journal |
Volume | Issue | ISSN |
18 | S-3 | 1471-2105 |
Citations | PageRank | References |
2 | 0.37 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Sun | 1 | 2 | 0.37 |
| Jun Wang | 2 | 18 | 1.27 |
| Jinmao Wei | 3 | 23 | 6.46 |