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Autor:
Andrea Campagner
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FUZZ-IEEE
Learning from fuzzy labels (LFL) refers to a generalization of supervised learning in which supervision is represented as a (epistemic) fuzzy set over the collection of possible classification labels: this represents the uncertainty of the annotating