搜索资源列表
SVM-KM
- SVM classification This routine classify the training set with a support vector machine using quadratic programming algorithm (active constraints method)
Ttest-RFE-SVM
- 对DNA微阵列用RFE-SVM算法对基因进行分类-Use of DNA microarray gene RFE-SVM algorithm to classify
gapsoforclass
- Particle swarm optimization for SVM regression and classify
main1
- SVM主程序,专门用来调用SVM程序的,主要是先建模再验证，得出较好的分类器。-SVMmain program，for using SVM to classify
SVM.R
- 利用R语言实现SVM.已经编写为函数，只需输入测试集和训练集数据即可-using R to do SVM classify。user only have to upload training and test data
code
- 机器学习 R语言对与数据进行分类，包括决策树，SVM，贝叶斯，percepttron等算法。需要注意之前要安装相应的R工具包。具体工具包名称百度一下就能容易获取。-R for language and machine learning to classify data, including decision trees, SVM, Bayesian, percepttron algorithm. To install the appropriate R toolkit before need t
SVM
- 使用神经网络中的SVM实现函数的分类，原函数中还加了噪声，分类的效果不错。-SVM neural network to classify the function, the original function also added a noise effect, a good classification.
linear programming and svm
- 线性分类器(linear classify)
Svm_OneVersusOne
- 支持向量机 多分类 基于1V1的方法 对多类数据进行分类(Support Vector Machine Multi-classification Based on 1V1 method to classify multiple types of data on compensation)
Rosslerlssvm
- 运用支持向量机对所选择的目标进行分类处理，这类分类处理比较与其他方法较为实用(Using support vector machine to classify the selected target, this kind of classification is more practical than other methods.)
libSVM
- 利用LibSVM以及SVM模型进行文本数据分类。训练数据与测试数据都有。(Using LibSVM and SVM model to classify text data. Both the training data and the test data are available.)
SVM
- 利用SVM支持向量机进行信号分类，解决非线性信号问题(SVM support vector machine is used to classify signals and solve nonlinear signal problems.)
fapiao
- 主要实现的是发票的文字区域的检测，采用的SVM训练器进行分类，同时对区域进行划分并且识别出主要文字。(The main task is to detect the text area of invoice. The SVM trainer is used to classify the text area and recognize the main text.)