| Title | Crowd-Assisted Machine Learning: Current Issues and Future Directions |
| Authors | Wang, Jiangtao Wang, Yasha Lv, Qin |
| Affiliation | Univ Lancaster, Sch Comp & Commun, Lancaster, England Peking Univ, Beijing, Peoples R China Univ Colorado, Dept Comp Sci, Boulder, CO 80309 USA |
| Issue Date | 2019 |
| Publisher | COMPUTER |
| Abstract | Many intelligent computing tasks cannot be fully handled by machines. This article reviews crowd-assisted machine learning (ML) opportunities for future research, identifies the main challenges of ML with pure machine intelligence, and proposes a crowd-assisted framework, Crowd4ML. |
| URI | http://hdl.handle.net/20.500.11897/551998 |
| ISSN | 0018-9162 |
| DOI | 10.1109/MC.2018.2890174 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 待认领 |
