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.
Download: [code] (2.0Kb)