TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases.
Saved in:
| Title: | TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases. |
|---|---|
| Authors: | Guo, Xiaoding1, 15b903068@hit.edu.cn, Zhang, Hongli1, Ye, Lin1, Li, Shang1 |
| Source: | Applied Intelligence; Apr2021, Vol. 51 Issue 4, p2233-2252, 20p |
| Database: | Applied Science & Technology Source |
| ISSN: | 0924669X |
|---|---|
| DOI: | 10.1007/s10489-020-01912-z |
