Name
Abstract | ||
|---|---|---|
•A measure of semi-supervised neighborhood mutual information is developed to evaluate the significance of attributes in partially labeled data.•A three-way decision-based multiview tri-training model with entropy minimization is proposed to learn from partially labeled data.•The effectiveness of the proposed model is theoretically analyzed. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ins.2022.07.133 | Information Sciences |
Keywords | DocType | Volume |
Three-way decision,Neighborhood rough sets,Tri-training,Entropy minimization,Partially labeled data | Journal | 610 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linchao Pan | 1 | 0 | 0.34 |
| Can Gao | 2 | 0 | 1.69 |
| Jie Zhou | 3 | 2103 | 190.17 |