Based on the analysis of the sample weighted SVM model (such as Fuzzy SVM), a new model, i. e. , feature weighted SVM (FWSVM for short) is proposed.
在对样本加权SVM模型(例如模糊SVM)分析的基础上,提出了特征加权SVM模型,即FWSVM。
参考来源 - 支持向量机模型选择研究This paper proposes a face novel recognition method based on Weighted PCA, which combined weighted features with PCA. At first, we calculate the weighted subspace for each class by minimizing the weighted reconstruction error.
将特征加权和主元分析相结合,提出了一种新的加权主元分析方法;这种方法先根据加权重建误差最小化,计算出各类训练样本的加权子空间,然后计算测试样本点到各加权子空间的距离,并根据该距离进行分类识别。
参考来源 - 基于加权主元分析(WPCA)的人脸识别First, 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
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 of naive Bayes classifier using feature weighting technique.
实验结果表明改进后的特征加权公式取得了较高的分类准确率。
And it modifies the formula of weight of feature. The result of experiment shows the precision is improved.
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。
In this paper, we investigate enhancement to naive Bayes classifier using feature weighting technique based on rough set theory.
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