This package includes the MATLAB code of the multi-instance multi-label learning algorithm MIMLWEL. It tries to deal with weak label problem which is a new kind of multi-instance multi-label learning problem, where only a partial label set associated with each training example is provided. A Readme file and an example file are included in the package.
S.-J. Yang, Y. Jiang, and Z.-H. Zhou. Multi-instance multi-label learning with weak label. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), Beijing, China, 2013.
This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (firstname.lastname@example.org).
The package was developed with MATLAB
This package was developed by Ms. Shu-Jun Yang (email@example.com). For any problem concerning the code, please feel free to contact Ms.Yang.Download