PRN combined feature selection algorithm is proposed.
并提出改进的PRN组合特征选择算法。
A new feature selection algorithm based on Immune Clonal selection algorithm (ICSA) is proposed.
提出了一种基于免疫克隆选择算法的特征选择方法。
In this paper, a posterior-probability-based feature selection algorithm is proposed for imbalanced datasets.
针对不平衡数据集，提出一种基于后验概率的特征选择算法。
Compare clinical studies with microarray expression for the same disease. Determine which normalization techniques or feature selection algorithm can enable increased reproducibility.
比较临床研究和生物晶片技术对同一种疾病的解释。确定哪些标准化技术或者特征选择演算法可以增加再现性。
Several feature selection methods were analyzed. An improved mutual information algorithm was proposed. The experiment results showed that improved mutual information algorithm was feasible.
分析了常用的几种特征选取方法，提出了改进互信息算法。实验结果显示改进的互信息算法是可行的。
Several feature selection methods were analyzed. An improved mutual information algorithm was proposed.
分析了常用的几种特征选取方法，提出了改进互信息算法。
In this paper, the method for feature extraction and selection of handwriting signature is discussed. On this basis, a functional algorithm of special points extraction has been presented.
介绍了手写签名特征抽取和选择的一般方法，并在此基础上，提出了一种实用的签名笔迹特殊点提取算法。
The WAS generally includes the Web page purification, feature selection, vector representation, training algorithm, classification al.
网页自动分类一般包括网页净化、特征选择、向量表示、训练算法、分类算法等五个部分。
This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.
针对基于基因表达数据的分类，本文从特征基因选择和支持向量机分类算法两个方面进行了改进。
Two important research directions of text classification are: feature selection method and text classification algorithm.
文本分类的两个重要的研究方向是：特征选择与文本分类算法。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
In this paper, we introduce an algorithm which is using the importance of attribute with heuristics for feature selection.
本文提出一种基于属性重要度的启发式特征选取算法。
To get more precise fusion features by clearing redundant features, we propose a feature selection method based on multi-object evolution algorithm.
为了获得更精简的特征序列，去除冗余特征，在特征约减方面，提出了基于多目标遗传算法的虹膜融合特征约减方法；
This thesis improves tumor samples classification of gene expression data in two aspects: classification algorithm and feature gene selection method.
针对基于基因表达数据的肿瘤样本分类，本文从分类算法和特征基因选取方法两个方面进行了改进。
The selection of features depends on the algorithm of feature extraction , and we use the 14-point ASM(Active Shape Model) in this paper.
特征的选取取决于特征提取的算法，本文采用的是14点主动形状模型。
The text preprocessing, feature selection, training algorithm, and recognition method are described in the paper.
对文本分类系统的系统结构、预处理、特征提取、训练算法、分类算法等进行了详细介绍。
Based on CHI value feature selection and the cover algorithm of forward neural network, realizes the automatic classification of texts after the preprocessing of the texts.
通过对前向神经网络交叉覆盖算法的分析，针对该算法的特点，文中提出了扩大覆盖半径以减少拒识样本数据的新方法。
Then the optimum feature subset is selected from the feature genes with Backward Selection Search Method algorithm and independent tests.
通过“两两冗余”后，依据后向搜索算法选定最优特征子集。
Then the optimum feature subset is selected from the feature genes with Backward Selection Search Method algorithm and independent tests.
通过“两两冗余”后，依据后向搜索算法选定最优特征子集。
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