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)