scholarly journals The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification

2013 ◽  
Vol 17 ◽  
pp. 1032-1038 ◽  
Author(s):  
Yuan-Hai Shao ◽  
Wei-Jie Chen ◽  
Wen-Biao Huang ◽  
Zhi-Min Yang ◽  
Nai-Yang Deng
Keyword(s):  
Support Vector Machine ◽  
Decision Tree ◽  
Twin Support Vector Machine ◽  
Support Vector ◽  
Multi Class Classification

Study on Housing Performance Evaluation Model Based on Hierarchical Potential Support Vector Machine

2011 ◽  
Vol 90-93 ◽  
pp. 894-898
Author(s):  
Bo Jing Tian
Keyword(s):  
Support Vector Machine ◽  
Feature Selection ◽  
Performance Evaluation ◽  
Decision Tree ◽  
Qualitative Analysis ◽  
Supplier Selection ◽  
Evaluation Model ◽  
Support Vector ◽  
Performance Evaluation Model ◽  
Multi Class Classification

Housing performance is an important and widely studied topic since it has significant impact on architecture design and programming. In terms of problems existing in the field, a new support vector machine technology, potential support vector machine, is introduced and then combined with decision tree to address issues on supplier selection including feature selection, multi-class classification and so on. And the methodology proposed in the paper, which is proved to the strengthens of integrating knowledge and experiences from experts in the paper, can be applied in housing performance evaluation which is one of complex issues combined with processes including not only quantitative, but also qualitative analysis.

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