MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility

Zhaori Guo, Timothy J. Norman, Enrico H. Gerding

Being able to infer ground truth from the responses of multiple imperfect advisors is a problem of crucial importance in many decision-making applications, such as lending, trading…