Novelty detection in the belief functions framework
نویسندگان
چکیده
The problem of testing whether an observation may be deemed to correspond to a given model is a difficult issue. Variants of the problem have been widely studied in Statistics and Pattern Recognition. We build a solution in the belief function framework and demonstrate its advantages over other approaches in situations where the available information is particularly scarce.
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