| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 377816 | Artificial Intelligence in Medicine | 2014 | 8 Pages |
Abstract
Incorporating a supervised clustering algorithm into the SVM technique leads to a sparse but effective solution, while making the proposed VSVC adaptive to different probability distributions of the training data.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xulei Yang, Aize Cao, Qing Song, Gerald Schaefer, Yi Su,