Attacked the problem of feature weighting in two opposite directions.
4.在两个相反方向上对特征权重计算进行了研究。
参考来源 - 中文文本自动分类中的关键问题研究Feature weighting is one of the important problems for feature weighting based KNN algorithm,and many heuristic methods have been employed to solve the problem traditionally.
特征权重学习是基于特征赋权的K近邻算法需要解决的重要问题之一,传统上提出了许多启发式的学习方法。
参考来源 - 基于PSO面向K近邻分类的特征权重学习算法 in CFirst, an improved Gabor feature extraction algorithm based on feature weighting is proposed.
文中首先研究并给出了一种改进的基于特征加权的Gabor特征抽取算法。
参考来源 - Gabor滤波器在车辆检测和车型识别中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper, we investigate enhancement of naive Bayes classifier using feature weighting technique.
该文利用特征加权技术来增强朴素贝叶斯分类器。
In this paper, we investigate enhancement to naive Bayes classifier using feature weighting technique based on rough set theory.
本文基于粗糙集理论探索特征加权技术对朴素贝叶斯分类器的改进。
Based on a detailed study of these processes, this thesis focuses on characteristics of feature dimension reduction and feature weighting.
本文在对这些过程进行详细了解和研究的基础之上，重点探讨了特征降维和特征加权过程。
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