Description: CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation.

Reference: Z.-H. Zhou, M.-L. Zhang. Solving multi-instance problems with classifier ensemble based on constructive clustering . Knowledge and Information Systems , 2007, 11(2): 155-170.

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 OSU implementation of LIBSVM must be available ( http://www.ece.osu.edu/~maj/osu_svm/ ). Refer: C.-C. Chang, C.-J. Lin. LIBSVM: a library for support vector machines. Technical Report, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, 2001.

ATTN2: This package was developed by Mr. Min-Ling Zhang ( zhangml@lamda.nju.edu.cn ). For any problem concerning the code, please feel free to contact Mr. Zhang.

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