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In our recent paper [1] we demonstrated that the standard Bayes classifier, when applied to a problem characterised by imprecise likelihood functions, produces results which are inconsistent with our intuition. As a more appropriate alternative to the standard Bayes classifier, we proposed in [1] a classification method based on the transferrable belief model (TBM). Mahler [2, ch. 4-8] recently proposed...
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