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This addendum contains experimental results that were meant to be added to the revised paper but were accidentally dropped from the published paper. This section should have appeared following Section 6 (Results with Learning). The corresponding author takes upon himself the full responsibility for this omission.
Uncertainty representation is a major issue in pattern recognition. In many applications, the outputs of a classifier do not lead directly to a final decision, but are used in combination with other systems, or as input to an interactive decision process. In such contexts, it may be advantageous to resort to rich and flexible formalisms for representing and manipulating uncertain information. This...
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