Multiple expert classification: a new methodology for parallel decision fusion

摘要

A new parallel hybrid decision fusion methodology is proposed. It is demonstrated that ex- isting parallel multiple expert decision combination ap- proaches can be divided into two broad categories based on the implicit decision emphasis implemented. The first category consists of methods implementing computation- ally intensive decision frameworks incorporating a priori information about the target domain and the re- category encompasses approaches implementing group consensus without assigning any importance to the reli- ability of the experts and ignoring contextual infor- mation.