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Recently, in the framework of Pattern Recognition, methods forcombining several experts (Multi-Expert Systems, MES) in order to improvethe recognition performance, have been widely investigated. A main problemof MES is that the combining rule should be able to take the right classificationdecision even when the experts disagree. Anyway, in critical cases, a rejectdecision is convenient to reduce the risk of an error. Up to now, the problem ofdefining a reject rule for a MES has not...

Optimizing the error/reject trade-off for a multi-expert system using the Bayesian combining rule