Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification

Author:

Lingras Pawan,Butz Cory

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference43 articles.

1. F. Chang, C.-C. Lin, C.-J. Chen. Applying a hybrid method to handwritten character recognition, in: Proceedings of 17th International Conference on Pattern Recognition, 2004, pp. 529–532.

2. F. Chang, C.-H. Chou, C.-C. Lin, C.-J. Chen, A prototype classification method and its application to handwritten character recognition, in: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2004, pp. 4738–4743.

3. P-H Chen, C.-J. Lin, B. Scholkopf, A Tutorial on Support Vector Machines, 2002. http://www.csie.ntu.edu.tw/~cjlin/papers/nusvmtutorial.pdf.

4. An Introduction to Support Vector Machines (and Other Kernel-based Learning Methods);Cristianini,2000

5. N. Cristianini, Support vector and kernel methods for pattern recognition, 2003. http://www.support-vector.net/tutorial.html.

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