Name
Title | ||
|---|---|---|
A problem-specific non-dominated sorting genetic algorithm for supervised feature selection |
Abstract | ||
|---|---|---|
•Supervised feature selection of high-dimensional data is formulated as an MOP.•We developed a problem-specific non-dominated sorting genetic algorithm to solve the MOP.•We made a systematical comparison between our method and some state-of-the-art FS approaches. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ins.2020.08.083 | Information Sciences |
Keywords | DocType | Volume |
Classification,Feature selection,Multi-objective optimization,Genetic algorithm | Journal | 547 |
ISSN | Citations | PageRank |
0020-0255 | 8 | 0.46 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Zhou | 1 | 58 | 4.86 |
| Wenjun Zhang | 2 | 8 | 0.46 |
| Junhao Kang | 3 | 10 | 1.15 |
| xiao | 4 | 78 | 7.06 |
| Xu Wang | 5 | 103 | 15.76 |