Concept information
Terme préférentiel
LPU
Définition
- A text learning or classification system that learns from a set of positive documents and a set of unlabeled documents (without labeled negative documents). This type of learning is different from classic text learning/classification, in which both positive and negative training documents are required. (Loterre)
Concept générique
Synonyme(s)
- Learning from Positive and Unlabeled data
Traductions
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français
URI
http://data.loterre.fr/ark:/67375/8LP-W3HJP2V5-1
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