Name
Abstract | ||
|---|---|---|
Learning features from multiple views has attracted much research attention in different machine learning tasks, such as multiclass and multilabel classification problems. In this paper, we propose a multiclass multilabel multiview learning framework with a linear computational cost where an example is associated with at least one label and represented by multiple information sources. We simultane... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2739423 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Kernel,Support vector machines,Feature extraction,Correlation,Computational efficiency,Learning systems,Convergence | Convergence (routing),Kernel (linear algebra),Hinge loss,Support vector machine,Projection (linear algebra),Feature extraction,Artificial intelligence,Computational learning theory,Classifier (linguistics),Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
48 | 8 | 2168-2267 |
Citations | PageRank | References |
8 | 0.44 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaowei Xue | 1 | 44 | 3.65 |
| Feiping Nie | 2 | 7061 | 309.42 |
| Zhihui Li | 3 | 252 | 16.39 |
| Sen Wang | 4 | 477 | 37.24 |
| Xue Li | 5 | 2196 | 186.96 |
| Min Yao | 6 | 171 | 7.86 |