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CCE

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 .

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 . For any problem concerning the code, please feel free to contact Mr. Zhang.

Download: [code] (2.0Kb)
  Name Size
- CCE.rar 1.94 KB

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