Name
Abstract | ||
|---|---|---|
We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We also propose a span bound for MU-SVM that can be used for model selection thereby avoiding resampling. Empirical results demonstrate the effectiveness of MU-SVM and the proposed bound. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Learning | Pattern recognition,Computer science,Support vector machine,Model selection,Artificial intelligence,Resampling,Machine learning,Multiclass classification |
DocType | Volume | Citations |
Journal | abs/1609.09162 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sauptik Dhar | 1 | 48 | 5.75 |
| Naveen Ramakrishnan | 2 | 47 | 3.96 |
| Vladimir Cherkassky | 3 | 1064 | 126.66 |
| mohak shah | 4 | 36 | 8.78 |