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- Resemblance coefficient feature selection approach based on quantum genetic algorithm is applied to select the most discriminatory features from a large number of wavelet packet transform... 仿真实验结果显示,该方法用较少的特征能获得较高的正确识别率,具有一定的参考价值。
- And the number of features needed as the input of the BNN model is reduced effectively through the proposed feature selection approach, where information gain is chosen as a criterion. 并且提出了一种有效的特征选择方法,采用信息增益准则,有效降低了特征维数。
- A Clustering Ensemble Based Unsupervised Feature Selection Approach 一种基于聚类集成的无监督特征选择方法
- Secondly，analyzing the structure of first PC，it presents new global PCA-based and PLS-based feature selection approaches，in addition recursive feature elimination on PLS（PLS-RFE） is realized. 其次通过分析第一成分结构，提出基于PCA与PLS的新的全局特征选择方法，并进一步提出基于PLS的递归特征排除法（PLS-RFE）；
- A Rough Set Feature Selection Approach Dealing with Inconsistent Data 具有非一致性数据预处理的粗糙集特征选择算法
- feature selection approach 特征选择方法
- The Feature Selection page consists of two panes. “功能选择”页有两个窗格。
- Set this value to 0 to turn off feature selection. 如果将此值设置为0,则表示关闭功能选择。
- You should now see the feature selection screen. 现在您应该看到特性选择屏幕了。
- Hi, everyone, Here is a question about feature selection. 有关特征筛选的一个问题。
- On the Feature Selection page, expand Client Components. 在“功能选择”页上,展开“客户端组件”。
- On the Feature Selection page, expand Database Services. 在“功能选择”页上展开“数据库服务”。
- PRN combined feature selection algorithm is proposed. 并提出改进的PRN组合特征选择算法。
- The chief obstacles to feature selection are noise and sparseness. 本文介绍了一种基于类别特征域的特征选择方法。
- Facial feature selection method based on SVM RFE[J]. 引用该论文 李伟红;龚卫国;陈伟民;梁毅雄;尹克重.
- Based on probability density approximation, a novel unsupervised feature ranking approach was proposed and could be applied to feature selection. 摘要依据概率密度逼近提出了一种新的无监督特征排序，应用于特征选择降维。
- Based on fractal dimension, an adaptive selection approach to Gibbs random field parameter for binary sketch of grey image is presented in this work. 本文研究采用分层吉布斯随机场模型实现图像二值化时吉布斯模型参数的选取方法 .;根据分形维数反映图像复杂程度的特性;定义了吉布斯模型参数与分形维数的关系;从而实现了吉布斯模型参数的自适应选取
- Based on information theory and minimum description length (MDL) principle, a novel parameter estimation and selection approach are presented. 基于最小描述长度原理,提出了一种新的参数筛选估计方法。
- Method This paper proposes a machine learning approach for the modeling and prediction of splice junction sites by an effective feature selection algorithm. 方法从机器学习的角度出发，提出了一种有效的特徵选择算法用于剪接位点的建模和预测。
- Feature selection and classification are the key points in BCI research. 特征提取和分类是脑-机接口的关键。
