A Multi-class Algorithm Model Based on p-class Support Vector Ordinal Regression Machine

作者：Yang Zhi Xia^*

来源：2nd International Symposium on Optimization and Systems Biology, 2008-10-31 to 2008-11-03.

• Multi-class classification problem
• decomposition-reconstruction
• support vector ordinal regression machine
• error-correcting output code

Multi-class classification is an important and on-going research subject in machine learning. In this paper, we propose an algorithm model for k-class multi-class classification problem based on p-class (2 <= p <= k) support vector ordinal regression machine (SVORM). A series of algorithms can be generated by selecting the different parameters p, L and the code matrix. When p = 2, they reduce to the popular algorithms based on 2-class SVMs. When p = 3, they improve K-SVCR in [1] and v-K-SVCR in [18]. The algorithms based on p- class SVORM in this algorithm model are more interesting because our preliminary numerical experiments show that then are promising. At last, some problems for further study are suggested.

• 出版日期2008
• 单位新疆大学