Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective
文献类型：期刊论文
| 作者 | Jing Zhang
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2022 |
| 卷号 | 9期号:5页码:749-762 |
| 关键词 | Crowdsourcing data fusion learning from crowds learning paradigms learning with uncertainty |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2022.105434 |
| 英文摘要 | Big data have the characteristics of enormous volume, high velocity, diversity, value-sparsity, and uncertainty, which lead the knowledge learning from them full of challenges. With the emergence of crowdsourcing, versatile information can be obtained on-demand so that the wisdom of crowds is easily involved to facilitate the knowledge learning process. During the past thirteen years, researchers in the AI community made great efforts to remove the obstacles in the field of learning from crowds. This concentrated survey paper comprehensively reviews the technical progress in crowdsourcing learning from a systematic perspective that includes three dimensions of data, models, and learning processes. In addition to reviewing existing important work, the paper places a particular emphasis on providing some promising blueprints on each dimension as well as discussing the lessons learned from our past research work, which will light up the way for new researchers and encourage them to pursue new contributions. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/47542]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Jing Zhang. Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(5):749-762. |
| APA | Jing Zhang.(2022).Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective.IEEE/CAA Journal of Automatica Sinica,9(5),749-762. |
| MLA | Jing Zhang."Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective".IEEE/CAA Journal of Automatica Sinica 9.5(2022):749-762. |
入库方式： OAI收割
来源：自动化研究所
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