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MIMLWEL

Description: 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.

Reference: 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.

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

ATTN2: This package was developed by Ms. Shu-Jun Yang (yangsj@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Ms.Yang.

Download: code (773KB)
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