Description: MeanS3VM is a package for efficient semi-supervised learning using label mean. The package includes the MATLAB code of the algorithm MeanS3VM. Two algorithms are included. One is MeanS3VM-iter, while the other is MeanS3VM-mkl.
References: Y.-F. Li, J. T. Kwok, and Z.-H. Zhou. Semi-supervised learning using label mean . In: Proceedings of the 26th International Conference on Machine Learning (ICML'09), Montreal, Canada, 2009, pp.633-640.
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) and C++, hence Matlab and C++ need to be installed before running the code. A demo function 'demo.m' and a UCI data set 'house' are included to illustrate the use of this package.
ATTN2: This package was developed by Mr. Yu-Feng Li (liyf@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Mr. Li.
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