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 (8429Kb) (Updated on Mar. 17th, 2018)