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Towards Safe Semi-supervised Classification: Adjusted Cluster Assumption via Clustering

  • Published:2017-04-08 Issue:3 Volume:46 Page:1031-1042
  • ISSN:1370-4621
  • Container-title:Neural Processing Letters
  • language:en
  • Short-container-title:Neural Process Lett

Author:

Wang YunyunORCID,Meng Yan,Fu Zhenyong,Xue Hui

Funder

National Natural Science Foundation of hina

Specialized Research Fund for the Doctoral Program of Higher Education of China

Introduction of Talent Research Foundation of Nanjing University of Posts and elecommunications

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference23 articles.

1. Zhou Z-H, Li M (2010) Semi-supervised learning by disagreement. Knowl Inf Syst 24(3):415–439

2. Zhu X, Goldberg AB (2009) Introduction to semi-supervised learning. Morgan & Claypool, San Rafael

3. Zhu X (2008) Semi-supervised learning literature survey. University of Wisconsin-Madison, Computer Sciences, Madison

4. Chapelle O, Scholkopf B, Zien A (2006) Semi-supervised learning. MIT Press, Cambridge

5. Gong C et al (2015) Scalable semi-supervised classification via Neumann series. Neural Process Lett 42(1):187–197

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