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Description: ssODM is a package which tries to achieve good generalization performance by optimizing the margin distribution and assigning labels to unlabeled instances simultaneously.

[1] T. Zhang and Z.-H. Zhou. Semi-supervised optimal margin distribution machines. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, pp.3104-3110.

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 ().

Requirement: The package was developed with MATLAB 2017b.

ATTN2: This package was developed by Teng Zhang (). For any problem concerning the code, please feel free to contact Mr. Zhang.

Download: [code] (391KB)
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