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
Prof. Zhi-Hua Zhou .
ATTN2: This package was developed by
Ms. Cam-Tu Nguyen. 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)