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International Conference on Computer Technology and Development, 3rd (ICCTD 2011)

By
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011

In this paper, we propose a new approach which is General Tree (GT) model to be used to combine binary Support Vector Machine (SVM) classifiers for multi-class classification. In addition, the error probability of a tree is also introduced with purpose for evaluating the fitness of different General Trees.

Abstract
Keywords
1. Introduction
2. Support Vector Machines for Pattern Classification Problems
3. Typical Multi-Class SVM Classification Methods
4. General Tree
5. Some Estimations, Experiments on General Tree and Conclusion
6. Summaries
References
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