A survey on semi-supervised learning

@article{vanEngelen2019ASO,
  title={A survey on semi-supervised learning},
  author={Jesper E. van Engelen and Holger H. Hoos},
  journal={Machine Learning},
  year={2019},
  volume={109},
  pages={373 - 440}
}
Semi-supervised learning is the branch of machine learning concerned with using labelled as well as unlabelled data to perform certain learning tasks. Conceptually situated between supervised and unsupervised learning, it permits harnessing the large amounts of unlabelled data available in many use cases in combination with typically smaller sets of labelled data. In recent years, research in this area has followed the general trends observed in machine learning, with much attention directed at… 

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