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miGraph

Description: The package includes the MATLAB code of the multi-instance learning algorithm miGraph, which does not assume the instances as i.i.d. samples. A Readme file and some example files are included in the package.

References: Z.-H. Zhou, Y.-Y. Sun, and Y.-F. Li. Multi-instance learning by treating instances as non-i.i.d. samples. In: Proceedings of the 26th International Conference on Machine Learning (ICML'09), Montreal, Canada, 2009, pp.1249-1256.

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 (v. 2008b). Remember to normalize your data for each bag to 0, 1.

ATTN2: This package was developed by Ms. Yu-Yin Sun (sunyy@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Ms. Sun.

Download: [code] (164Kb)
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