搜索资源列表
libsvm-mat-3.0-1
- 最新的libSVM3.0版本，台湾林智仁团队编写的。-The newest version of livsvm toolbox
gridregression
- 根据libsvm中的grid.py改写的支持向量机回归栅格搜索算法-Grid.py According to rewrite the libsvm Support Vector Machine Regression grid search algorithm
TutorialForFarutoUltimate3.0
- Libsvm-FarutoUltimate3.0，libsvm 加强工具箱使用说明，非常好的pdf文件，另外我将继续上传代码部分。-Libsvm-FarutoUltimate3.0, libsvm strengthen the toolbox for use, very good pdf file, and I will continue to upload the code section.
libsvm3
- 台湾林智仁编写的支持向量机开源程序，可用于分类（C-SVC，nu-SVC，one-class SVM）和回归（epsilon-SVR，nu-SVR）。这是最新版本3.0。-Libsvm3.0 is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-cla
libsvm-3.1
- libsvm 工具箱 最新版希望对你能用-libsvm toolbox you can use the latest version of hope
libsvm-mat-3.0-1
- 此为台湾大学林智仁教授及所带领的团队编写的关于svm的程序包，简单实用。-This is the National Taiwan University Professor Lin Zhiren and the team led the preparation of the package on the svm, simple and practical.
libsvm-3.1
- SVM是一种常用的模式分类机器学习算法，以效率高准确度高闻名于世，libsvm和svmlight是常用的两种SVM实现方法。 这个是台湾林智仁写的，有各种语言版本-SVM is a common pattern classification machine learning algorithm, known to high accuracy, high efficiency, libsvm and svmlight are two commonly used SVM implementation
java
- 工具libsvm3.14版本的java源码-libsvm3.14 version of java source code
libsvm-svdd-3.17
- svm svdd3.17版本，配套libsvm3.17最新版本-svm svdd3.17 version, the latest version supporting libsvm3.17
WekaUse
- Weka各类分类器的使用（Java）.MyEclipse2013+Weka3.6+libsvm3.18+Jdk1.7+Win8.1-Weka various types of classifiers using (Java). MyEclipse2013+Weka3.6+libsvm3.18+Jdk1.7+Win8.1
libsvm-3.20-software
- libsvm3.20-支持向量机软件安装包，功能强大，安装不易出现问题-libsvm3.20- support vector machine software installation package, powerful, easy installation problems
libsvm3.1
- 支持向量机，可以直接放在matlab中使用，不用编译-SVM，can directly use in matlab ，don’t compile
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
SVM_Code_GUI
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
libsvm-3.21
- matlab模式识别工具箱libsvm3.21,可以直接装载，不需要编译,证明可用-Matlab pattern recognition toolbox libsvm3.21, can be directly loaded, do not need to compile
svr
- 基于支持向量机SVM原理，引入惩罚系数，在libsvm3.14安装包基础上实现了支持向量回归matlab编程(Based on the SVM principle of support vector machine, the penalty coefficient is introduced, and support vector regression matlab programming is implemented on the basis of libsvm3.14 installatio
PCA+SVM
- 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)