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。
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。
This paper discusses the shortage of conventional algorithms of texture classification based on wavelet transform, presents two improved approaches of point feature weighting and smart windows.
在基于小波的纹理分类算法的基础上，提出了逐点特征加权和活动窗口算法，使小波纹理分析能够用于高分辨率遥感影像的分类。
By analyzing the origin and feature of outliers, a concept of exceptional contribution degree is defined and then an algorithm for re-clustering outliers based on feature weighting is proposed.
通过对离群数据来源及特性进行分析，定义了离群贡献度的概念，提出了一种基于特征赋权的离群数据再聚类算法。
Margin maximization feature weighting is an effective dimension reduction technique, and it is generally based on weighting techniques and similarity measure to construct their objective functions.
间距最大化特征选择技术是一种有效的维数约减技术，一般是基于加权技术和相似性度量构造目标函数。
This paper researches the sub image feature fusion rules in the trademark image retrieval, and improves the sub image feature fusion rules by weighting based on the sub image reliability.
该文对商标图像检索中的子图像特征融合准则进行了研究，根据子图像可信度对子图像特征融合准则进行加权改进。
Concepts of Primary Feature Field and Primary Feature Space are defined, and factor of Primary Feature Word is introduced to the traditional weighting schema to enhance the system performance.
文中提出主特征域和主特征空间的概念，在传统词的权重计算中引入主特征词信息因子，改进检索效果。
In this paper, we will propose a method of feature selection and weighting scheme based on text set density, which is a way of measure of contribution to the text set density about some word.
在这篇论文中，我们提出了一种基于文本集密度的特征词选择与权重计算方案的方法。
Different features have different contribution to saliency, so a new approach for salient region detection with automatic feature selection and weighting is proposed.
不同的特征对视觉显著性的贡献是不同的，为此提出一种能够自动进行特征选择和加权的图像显著区域检测方法。
Different features have different contribution to saliency, so a new approach for salient region detection with automatic feature selection and weighting is proposed.
不同的特征对视觉显著性的贡献是不同的，为此提出一种能够自动进行特征选择和加权的图像显著区域检测方法。
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