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S4VM

Description: This package includes the MATLAB codes of semi-supervised algorithm S4VM, which towards making unlabeled data never hurt, or safe semi-supervised algorithm. A Readme file and an example file are included in the package.

Reference:
  • Yu-Feng Li and Zhi-Hua Zhou. Towards Making Unlabeled Data Never Hurt. In: Proceedings of the 28th International Conference on Machine Learning (ICML'11), Bellevue, Washington, 2011.
  • Yu-Feng Li and Zhi-Hua Zhou. Towards making unlabeled data never hurt. IEEE Transactions on Pattern Analysis and Machine Intellengence, 37(1):175-188, 2015.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@nju.edu.cn).

Requirement: The package was developed with MATLAB(v2008a).

ATTN2: This package was developed by Mr. Teng Zhang (zhangt@lamda.nju.edu.cn) and Yu-Feng Li (liyf@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Mr. Li or Mr. Zhang.

Download: code (328Kb) (Updated on Jan. 30th, 2015)

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