A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd
Jianheng Tang, Kejia Fan, Wenxuan Xie, Luomin Zeng, Feijiang Han, Guosheng Huang, Tian Wang, Anfeng Liu, Shaobo Zhang
Topics & Concepts
Computer scienceScheme (mathematics)RevenueIncentiveTrustworthinessMechanism (biology)Supervised learningData collectionLabeled dataArtificial intelligenceMachine learningComputer securityArtificial neural networkMicroeconomicsBusinessAccountingPhilosophyMathematical analysisEpistemologyMathematicsStatisticsEconomicsMobile Crowdsensing and CrowdsourcingAuction Theory and ApplicationsAdvanced Bandit Algorithms Research