Name
Abstract | ||
|---|---|---|
•A robust twin bounded SVM (RTBSVM) is proposed.•The least squares version (FRTBSVM) of RTBSVM is proposed.•Two effective algorithms are derived.•The convergence of algorithms are proved and computational complexity is analyzed.•Experiments show that RTBSVM and FRTBSVM are feasibility and effectiveness. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.neucom.2020.06.053 | Neurocomputing |
Keywords | DocType | Volume |
Twin bounded support vector machine,Least squares twin bounded support vector machine,Capped L1-norm,Robustness,Outliers | Journal | 412 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Ma | 1 | 47 | 19.80 |
| Liming Yang | 2 | 5 | 7.48 |
| Qun Sun | 3 | 0 | 0.68 |