Unconstrained transductive Support Vector Machines and its application
作者： Yingjie Tian , Yunchuan Sun , Chuan-Liang Chen , Zhan Zhang
DOI: 10.1109/IJCNN.2008.4633779
关键词:
摘要: Support vector machines have been extensively used in machine learning because of its efficiency and theoretical background. This paper focuses on nu-transductive support for classification (nu-TSVC) construct a new algorithm - Unconstrained nu-Transductive Vector Machines (Unu-TSVM). After researching the special construction primal problem nu-TSVM, we transform it to an unconstrained then smooth derived order apply usual optimization methods. Numerical experiments prove successful application real life credit card dataset.
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