To improve the ensemble SVM,a novel algorithm by using SVMs Bagging based on feedback learning are presented in this paper.
为了更好地改进集成分类器的性能,提出了一种基于反馈学习的支持向量机Bagging集成分类算法。
According to the thinking of feedback learning and the categorization algorithm of Support Vector Machine(SVM),and based on the analysis of the Chinese text categorization process,this paper proposes a model of Chinese text categorization based on feedback learning.
本文依据反馈学习的思想和支持向量机分类算法,在分析中文文本分类过程的基础上,给出了基于反馈学习的中文文本分类模型,通过实验研究了反馈学习对中文文本分类模型性能的影响。