【摘要】 提出了一种基于预抽取支持向量机及模糊循环迭代算法的改进的支持向量机(Support VectorM ach ines,SVM)的两类文本分类方法,与传统的SVM相比,该方法具有高得多的计算效率。文中给出了具体算法并将其用于文本分类中,实验表明了本算法用于文本分类的有效性及其高效率。更多还原

【Abstract】 This paper puts forward a method of two text categorization classes based on the pre-extracting support vectors and fuzzy circulated iterative algorithm.Compared with the conventional Support Vector Machines(SVM),the present method possesses much higher computation efficiency.This paper gives the concrete procedure of the algorithm,and applies it to the text classification.Experimental results demonstrate the effectiveness and the efficiency of the approach.更多还原