Description: mlODM is a package which tries to achieve strong generalization performance by optimizing the margin distribution for multi-label learning. The package includes the MATLAB code of the algorithm mlODM and a demo with example data set.
Reference: Z.-H. Tan, P. Tan, Y. Jiang and Z.-H. Zhou. Multi-label Optimal Margin Distribution Machine. In: Machine Learning (2019). https://doi.org/10.1007/s10994-019-05837-8
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 2019a.
ATTN2: This package was developed by
Mr. Zhi-Hao Tan. For any problem concerning the code, please feel free to contact Mr. Tan.
Download: [
code] (307KB)