Semi-Supervised Classification Algorithm

A Semi-Supervised Classification Algorithm is a Supervised Classification Algorithm that can solve a Semi-Supervised Classification Task.

• Context:
  • ??? It can be a:
    • ??? Generative Classification Algorithm.
    • ??? Discriminative Classification Algorithm.
• Example(s):
  • Progressive Transductive Support Vector Machine (PTSVM).
  • A Semi-Supervised Named Entity Recognition Algorithm.
  • Snowball Algorithm, a Semi-Supervised Relation Mention Recognition Algorithm.
• See: Fully-Supervised Classification Algorithm, Semi-Supervised Learning Algorithm, Semi-Supervised Estimation Algorithm.

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References

2008

• (Zhu, 2008) ⇒ Xiaojin Zhu. (2008). "Semi-Supervised Learning Literature Survey (revised edition)." Technical Report 1530, Department of Computer Sciences, University of Wisconsin, Madison.

2007

• (Zhu, 2007) ⇒ Xiaojin Zhu. (2007). "Semi-Supervised Learning." Tutorial at ICML 2007.

2003

• (Chen & al, 2003) ⇒ Yisong Chen, Guoping Wang, and Shihai Dong. (2003). "Learning with Progressive Transductive Support Vector Machine." In: Pattern Recognition Letters, 24(12). doi:10.1016/S0167-8655(03)00008-4

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