1.
Support vector domain fault prediction based on support vector pre-extracting
基于支持向量预选取的支持向量域故障预报
2.
Approach for pre-extracting support vectors based on k-NN
基于k-最近邻的支持向量预选取方法
3.
Pre-selection Sample Method of Fuzzy KNN in Classify of Support Vector Machines
基于模糊k近邻的样本预选取的支持向量机分类算法
4.
Two Models of Parameter Selection in v-Support Vector Machine;
v-支持向量机中参数选取的两种模型
5.
Improvement upon Algorithm for Training Set Selection of Support Vector Machine
一种支持向量机训练集选取算法改进
6.
An MPEC Method for Optimal Parameter Selection in Support Vector Machines;
支持向量机中参数选取的平衡约束规划方法
7.
Two Optimal Methods for Parameter Selection in Support Vector Machines for Unbalanced Data Sets;
不均衡支持向量机参数选取的两种优化方法
8.
Parameters selection of support vector regression by improved FS algorithms and its application
改进的FS算法选取支持向量回归机参数及应用
9.
SVM Kernel Function Selection In Emotion Recognition
表情识别中支持向量机核函数选取研究
10.
A Study of SVMs-based Classification of College Students’ Decision about Graduation;
基于支持向量机的大学生毕业选择预测研究
11.
Application of Online Selection Support Vector Classification in the Prediction of Ups and Downs in Stock Market;
支持向量机选择及其在股票走势预测中的应用
12.
SV Pre-selecting Algorithm Based on Adjacent Boundary Model
基于相邻边界模型的支持向量预选算法
13.
Fuzzy rules Based on Support Vector Machines and its Application to the Prediction of Silicon Content in Hot Metal
基于支持向量机的模糊规则获取及其在铁水硅含量预报中的应用
14.
Support Vector Machine Based Forecasting Model Selection;
基于支持向量机的航段运量预测模型优选方法研究
15.
Research on Companies Financial Distress Prediction Based on Feature Selection and Support Vector Machine;
基于特征提取与支持向量机的企业财务困境预测研究
16.
Prediction of Membrane Protein Types by Combining Features and Weighted-Support Vector Machine
多特征融合提取算法结合支持向量机预测膜蛋白类型
17.
In particular methods for confidence estimation and feature selection with Support Vector Machines will be described.
特别是支持向量机的特征选取和信赖度估计方法。
18.
SVM Based Research on Feature Selection Method for Gene Expression Data;
基于支持向量机的基因表达数据特征选取方法研究