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MIMLmix

Description: MIMLmix package implements MIMLmix model for Multi-view Multi-instance Multi-label learning

Reference:

[1] C.-T. Nguyen, X. Wang, J. Liu, and Z.-H. Zhou. Labeling complicated objects: Multi-view multi-instance multi-label learning. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14), Quebec City, Canada, 2014.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact .

ATTN2: This package was developed by . For any problem concerning the code, please feel free to contact Ms. Cam-Tu.

Requirement: Python 2.7.6 with numpy and scipy. You can install Anaconda for Python and the complete set of necessary packages.

Download: code (33MB)
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