Concept information
Preferred term
LPU
Definition
- LPU (Learning from Positive and Unlabeled data) is 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.
Broader concept
Bibliographic citation(s)
- • Bekker, J. & Davis, J. Learning from positive and unlabeled data: a survey, (2020), Machine Learning 109, 719-760 https://doi.org/10.1007/s10994-020-05877-5
has application field
has design country
- United States
has download location
uses platform
is encoded in
has interface
has website homepage
has for license
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/LTK-QPPFG6SM-5
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