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- research-articleNovember 2021
A graph-based approach for positive and unlabeled learning
Information Sciences: an International Journal (ISCI), Volume 580, Issue CPages 655–672https://doi.org/10.1016/j.ins.2021.08.099Highlights- Proposal of a graph-based method for Positive and Unlabeled Learning that uses graph-based strategies in all steps.
Positive and Unlabeled Learning (PUL) uses unlabeled documents and a few positive documents for retrieving a set of “interest” documents from a text collection. Usually, PUL approaches are based on the vector space model. However, when ...
- research-articleFebruary 2017
Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs
Pattern Recognition Letters (PTRL), Volume 87, Issue CPages 127–138https://doi.org/10.1016/j.patrec.2016.04.006Scalable algorithm based on bipartite graphs to perform transduction learning.Label propagation procedure that uses class information associated with vertices and edges.Better performance than state-of-the-art algorithms based on vector space or ...