: cisLDM is a package which tries to optimize the margin distribution on both labeled and unlabeled data when minimizing the worst-case total-cost and the mean total-cost simultaneously according to the cost interval. The package includes the MATLAB code of the algorithm cisLDM and one example data set. References
: Yu-Hang Zhou and Zhi-Hua Zhou. Large margin distribution learning with cost interval and unlabeled data. IEEE Transactions on Knowledge and Data Engineering, in press.ATTN
: This package is free for academic usage. You can run it at your own disk. For other purposes, please contact Prof. Zhi-Hua Zhou (email@example.com).Requirement
: The package was developed with MATLAB R2014a.ATTN2
: This package was developed by Mr. Yu-Hang Zhou (firstname.lastname@example.org). For any problem concerning the code, please feel free to contact Mr. Zhou.