A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd

The recruitment of trustworthy and high-quality workers is an important research issue for MCS. Previous studies either assume that the qualities of workers are known in advance, or assume that the platform knows the qualities of workers once it receives their collected data. In reality, to reduce c...

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Detalles Bibliográficos
Autores principales: Tang, Jianheng, Fan, Kejia, Xie, Wenxuan, Zeng, Luomin, Han, Feijiang, Huang, Guosheng, Wang, Tian, Liu, Anfeng, Zhang, Shaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171893/
https://www.ncbi.nlm.nih.gov/pubmed/37197296
http://dx.doi.org/10.1016/j.comcom.2023.04.030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171893/
https://www.ncbi.nlm.nih.gov/pubmed/37197296
http://dx.doi.org/10.1016/j.comcom.2023.04.030

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