1.
Research on the RBFNN for Complex Classifications;
基于RBFNN的复杂样本分类研究
2.
Application Research of Neural Network for Data Classification;
神经网络在一类数据样本分类中的应用研究
3.
Rule extraction for tumor/normal tissue classification based on microarray data
基于基因表达谱的肿瘤样本分类规则提取
4.
Sample Classification and Its Application in Formation Water Resistivity Calculation
样本分类及其在地层水电阻率计算中的应用
5.
Research and Application of the Clustering Discrimination Method via the Minimum Coverage
基于最小覆盖的样本分类判别方法应用研究
6.
A Method of Clustering Analysis Based on Category Judgement by Part Samples
一种基于部分样本类别判定的聚类分析方法
7.
Support Vector Machines Classifier Based on Margin Vectors;
基于边界向量样本的支持向量分类机
8.
A Method for Reducing the Amount of Training Samples in KNN Text Classification Based on Clustering and Density
基于聚类和密度的KNN分类器训练样本约减方法
9.
AN APPLICATION OF SAMPLE-DENSITY-WEIGHTED NN CLASSIFIER IN TEXT CLASSIFICATION
基于样本密度加权的神经网络分类器在文本分类中的应用
10.
Research of method to generate samples of class with fewer samples in imbalanced data sets text categorization
不均衡数据集文本分类中少数类样本生成方法研究
11.
Sample Class Discovery and Sample Class Prediction Based on Gene Expression Profile;
基于基因表达谱的样本分型与分类研究
12.
Analysis of Decision Rules in the Presence Of Classification Errors of the Learning Sample;
学习样本存在分类错误时的决策判据分析
13.
Balanced and imbalanced data sets classification based on sample projection distribution
基于样本投影分布的平衡不平衡数据集分类
14.
Classification of fuzzily separable training patterns based on fuzzy perceptron
利用模糊感知器解决模糊可分样本的分类问题
15.
Sample data classification is a commonly used tool in medical research.
样本数据分类是医学研究中常见的工具。
16.
Algorithms Research on Feature Extraction and Classifiers of High-Dimensional and Small Sample Size Data;
高维小样本数据的特征提取及分类器算法研究
17.
Construction Method for Training Data Set in Classification Algorithm of Support Vector Machines
支持向量机分类算法中训练样本集的构造方法
18.
Sample size determination for power in a sort of contingency table
一类分类数据列联表中基于检验功效的样本量研究