The algorithm accuracy rate and the recall rate can both reach 90%, which reflects a good classification performance.
该算法正确率、召回率等都能达到90%，体现了良好的分类性能。
The result of the experiment on ORL face images indicates that the proposed method has good classification performance.
在ORL人脸库上的实验结果表明，该算法能够取得较好的分类效果。
The results of experiment demonstrate that the SVM decision tree built up by this method has a good classification performance.
实验结果表明，这种方法构造的SVM决策树分类器分类性能较好。
The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast.
支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。
The SVM method is based on seeking on the Structural Risk Minimization by few learning samples supporting, and it has important feature such as good generalization and classification performance, etc.
支持向量机方法基于小学习样本条件下，通过寻求结构风险最小，以期获得良好的分类效果和泛化能力。
We proposed a paper sheet defects classification method based on SVM according to its good performance in small data sets and high dimension feature Spaces.
根据支持向量机(SVM)在小样本、高维模式分类中具有的优良分类性能，提出将支持向量机应用于实际的纸张缺陷分类。
Considering the good performance of sparse representation for image classification, a novel sparse representation based text detection method is presented.
针对稀疏表示具有良好的分类特性，本文提出了一种基于稀疏表示的文字检测方法。
Aimed at SAR image interpretation, SVM shows good performance in image filtering, image segmentation, target discrimination and classification, as well as polarimetric SAR data classification.
针对SAR图像解译，SVM在图像滤波、图像分割、目标识别与分类、极化数据分类等过程中有很好的处理能力。
This D-S decision tree is a new classification method applied to uncertain data and shows good performance and can efficiently avoid combinatorial explosion.
实验结果表明，D - S证据理论决策树分类算法能有效地对不确定数据进行分类，有较好的分类准确度，并能有效避免组合爆炸。
This D-S decision tree is a new classification method applied to uncertain data and shows good performance and can efficiently avoid combinatorial explosion.
实验结果表明，D - S证据理论决策树分类算法能有效地对不确定数据进行分类，有较好的分类准确度，并能有效避免组合爆炸。
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