Abstract | ||
---|---|---|
•An extension of the OPF-based semi-supervised learning for multi-label classification.•A more robust approach to propagate labels to unsupervised samples.•An extensive experimental validation for multi-label classification. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.ins.2018.06.067 | Information Sciences |
Keywords | Field | DocType |
Semi-supervised learning,Multi-label assignment,Optimum-path forest classifiers | Small number,Training set,Feature vector,Semi-supervised learning,Artificial intelligence,Classifier (linguistics),Maxima,Probability density function,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
465 | 0020-0255 | 1 |
PageRank | References | Authors |
0.37 | 23 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Willian Paraguassu Amorim | 1 | 24 | 4.52 |
Alexandre X. Falcão | 2 | 1877 | 132.30 |
João P. Papa | 3 | 689 | 46.87 |