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MI-Ensemble

Description: This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox.

Reference: Z.-H. Zhou and M.-L. Zhang. Ensembles of multi-instance learners. In: Proceedings of the 14th European Conference on Machine Learning (ECML'03), Cavtat-Dubrovnik, Croatia, LNAI 2837, 2003, pp.492-502.

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: To use this package, the MATLAB environment must be available.

ATTN2: This package was developed by Mr. Min-Ling Zhang (zhangml@lamda.nju.edu.cn). There is a ReadMe file roughly explaining the codes. But for any problem concerning the code, please feel free to contact Mr. Zhang.

Download: code (3.86Mb)

  Name Size
- MIL-Ensemble.rar 3.86 MB

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