Semi-Supervised Learning Algorithm

Revision as of 07:48, 8 November 2023 by Gmelli (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

A Semi-Supervised Learning Algorithm is a supervised learning algorithm that can be applied by a semi-supervised learning system to solve a semi-supervised training task that involves both labeled training data and unlabeled training data.



References

2009

2008

2007

2006

2006

2005

2004

2001

  • (Seeger, 2001) ⇒ Matthias Seeger. (2001). “Learning with Labeled and Unlabeled Data." Technical Report. University of Edinburgh.

1999