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- It was shown that the SLSI approach led to drastic dimension reduction and it maintained the classification accuracy as well. SLSI可以取得好的降维效果,同时也能保证文本分类的精度。
- The proposed method was easy to be computed and implemented, the classification accuracy were 92.0% and 97.57%, respectively. 文中的方法计算简单、实现容易;分别获得了92.;00%25和97
- In this paper the methods and experiments for applying the digital terrain model(DTM) to improve the classification accuracy are introduced. 本文着重介绍在遥感影象分类中应用数字地面模型(DTM)改正地物反射光谱中地形影响的方法和试验。
- Experimental results show that the proposed QBC is better than previous QBC approach in classification accuracy with a few labeled training examples. 实验结果表明,提出的基于改进的QBC主动贝叶斯网络分类器所建模型比原有算法有更好的分类精度,并且使用了少量的训练数据。
- Studies are empirically carried out, and prefer classification tree to statistical methods in classification accuracy and variable selection. 结果表明递归分类树在变量选择和分类方面的效果好于判别分析方法。
- The simulation results show that the algorithm improves 3.2% classification accuracy to LPCA, and 0.7% to PPCA on average. 实验结果表明,RPPCA方法的分类准确率比LPCA方法平均提高了3.;2%25,比PPCA方法平均提高了0
- Compared with the standard SVM algorithm, the experiments show our new classifier can both improve the classification accuracy and reduce the bias. 实验表明,新的基于SVM的分类器与传统SVM相比较,在分类准确率上有很大提高,同时偏差有所降低。
- There exist two problems in using support vector machine (SVM) as follows: One is the lower classification accuracy when existing noises. 摘要在使用支持向量机(SVM)分类时,存在以下两个问题:一是当存在噪点时,分类的精度低;
- By using GA/SVM algorithm, the classification accuracy of 86.55% was obtained to NCI60 dataset, and of 91.23% to GCM dataset. 对多类别癌症基因芯片表达谱数据(NCI 60数据和GCM数据)进行了计算,分别达到了86.;55%25和91
- The application results indicate that SVM model optimized by GA gets high classification accuracy and the misclassification rate of "accept the bad" can be controlled. 模型的应用结果表明,GA-SVM模型能够对样本数据进行较好的分类,并且“取伪”误判得到了控制。
- Firstly, kernel-based Multi-feature LDA (kMFLDA) is proposed to enhance MFLDA's classification accuracy, in order to deal with the linearly non-separable problem. 首先,在多特征线性判别分析(Multi-feature LDA, MFLDA)的基础上,提出了基于核的多特征线性判别分析(kernel MFLDA, kMFLDA),克服了多特征线性判别分析不能有效地解决非线性可分问题的不足;
- In the process of constructing a decision tree, the criteria of selecting partitional attributes will influence the classification accuracy of the tree. 摘要在构造决策树的过程中,属性选择将影响到决策树的分类精度。
- Experiments on face recognition and spectrum pattern recognition are conducted to investigate the classification accuracy with the developed covariance matrix estimator. 利用人脸和光谱模式识别的实验,对所发展的协方差矩阵估计器进行了探索。
- Topographic correction not only improves the classification accuracy but is a prerequisite in any quantitative remote sensing with high preciseness approach. 地形校正不仅能提高遥感识别与分类的精度,还是各种定量化遥感应用的前提。
- This method is applied to a classic microarray data set (leukemia data) and achieved 33/34 classification accuracy on the test data set with 34 samples. 通过实验,在经典的白血病数据集上,对于34个样本的测试集,达到了33/34的分类准确率,表明了本方法的适用性。
- The experiment results show that the advanced ID3 not only has better true classification accuracy and can build stronger tree, but also can reduce the price of computation. 实验结果表明,改进后的ID3算法分类正确率有所提高,所生成的决策树较为健壮、简洁,可以减少计算代价,提高计算效率。
- The experiment results show that it has a higher classification accuracy compared with the C4.5, the CART, the standard BP neural network and the fuzzy ARTMAP. 实验结果表明,模型与其它标准的分类方法:C4.;5、CART、BP神经网络、模糊ARTMAP比较,有更高的分类精度。
- Feature selection is frequently used as a preprocessing step to text classification,which is effective in reducing dimensionality and increasing classification accuracy. 特征选择是文档分类中常见的预处理工作,通过对文档特征空间降维,可以提高文档的分类性能。
- Experiment shows that this method im-proves the classification accuracy and classification time and training time compared with the traditional PCA and 2DPCA method. 实验证明这种方法的识别率比传统的PCA和2DPCA方法高,识别时间和训练时间比传统的PCA和2DPCA方法少。
- A method for improving the classification stability of SVM. Because of high classification accuracy and fast classification speed, the SVM is a better classification method in color recognition application.. 提高支持向量机稳定性的方法:支持向量机由于较高的分类正确率和较快的分类速度,是汽车颜色识别应用较好的分类器,但是无论多么优秀的分类器,也不能保证100%25的分类正确率。