Support Vector Machines
This software package adds structural similarity (through neighborhood
vectors) into linear or histogram intersection kernel SVM. This method
is particularly effective in dealing with imbalanced learning problems.
details, please refer to the following paper in the publication page:
Balance Support Vector Machines Locally Using the Structural Similarity
2011 : The 15th Pacific-Asia Conference on Knowledge
Discovery and Data Mining
The code is
Please read the README file before you use this software.
If you use this software,
please cite the above paper.
Contact: Jianxin Wu (wujx2001 AT gmail.com)