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Rough set is a popular theoretical method recently, it could process expression, study and induction of uncertainty or incomplete knowledge and data. According to rough set theory and variable precision rough set model to analyze disadvantages of widely used inverse texts frequency weighting method, and proposed to use variable precision rough set model to establish weight type of feature word weight...
Support vector machines have been extensively used in machine learning because of its efficiency and its theoretical background. This paper focuses on nu-transductive support vector machines for classification (nu-TSVC) and construct a new algorithm - Unconstrained nu-Transductive Support Vector Machines (Unu-TSVM). After researching on the special construction of primal problem in nu-TSVM, we transform...
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