搜索资源列表
libsvm-mat-3.0-1
- 支持向量机的matlab工具箱,版本号3.0.1
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
SVM
- 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support Vector Machin
libsvm-mat-3.0-1
- 台湾林智仁教授编写的svm工具箱,比较好用,是众多SVM工具箱中相当经典的一个,被国内外很多学者所引用。-This tool has been developed by professor Chih-Jen Lin of TaiWan.It is easy to use.Besides it was widely used by scholars all over the world.
libsvm-mat-2[1].89-3
- svm多分类器,包括多分类和GA算法和PSO算法优化的SVM-svm multi-classifier, including the multi-classification and GA algorithm and PSO algorithm for optimization of SVM
mpi-ikl-simplemkl-1.0.tar
- This package contains an implementation of the Infinite Kernel Learning (IKL) algorithm and the SimpleMKL algorithm. This is realized by building on Coin-Ipopt-3.3.5 and Libsvm.
libsvm-mat-2[1].89-3[FarutoUltimate3.0pcode]
- svm原始工具箱以及相应的接口辅助函数,希望好用 -svm toolbox and the corresponding interface, the original auxiliary function, hope useful
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-svdd-3.1
- 最新SVDD资料,比旧版增加文件夹matlab中的2个文件-new SVDD,implements two new files than old version
libsvm-mat-3.0-1
- This is a matlab svm, very useful to the matlab virtual machine
libsvm-weights-3.1
- 使用vc编写的svm分类程序,可以再matlab环境下调用进行分类识别-vc svm matlab
svm-mat-3.01
- libsvm-mat-2.9-1用于分数据回归、分类、预测等数据分析功能- MATLAB codes of support vector machine svm classification, regression yuce deng
libsvm-mat-3.0-1
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,可在matlab中快速调用-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (Lin Chih-Jen) Prof. development an
libsvm-mat-3.0-1
- libsvm工具箱,安装过程请见教程,需要安装c环境下进行编译-libsvm kit, the installation process, see the tutorial
变嵌入维数
- 变维数libsvm-3.1-[FarutoUltimate3.1Mcode](libsvm-3.1-[FarutoUltimate3.1Mcode])
libsvm-3.1-sources.jar
- java project for SVM classificattion
libsvm-mat-3.0-1
- libsvm-mat-3.0-1编译好的文件,可以直接在matlab中使用(ibsvm-mat-3.0-1 compiled files can be used directly in MATLAB)
libsvm-3.1-[FarutoUltimate3.1Mcode]
- matlab支持向量机的工具箱,可用于2012b 2010b(Matlab support vector machine toolbox, which can be used in 2012b and 2010b)
libsvm3.1.rar
- LibSVM是台湾林智仁(Chih-Jen Lin)教授2001年开发的一套支持向量机的库,这套库运算速度还是挺快的,可以很方便的对数据做分类或回归。由于libSVM程序小,运用灵活,输入参数少,并且是开源的,易于扩展,因此成为目前国内应用最多的SVM的库。 本源代码适用于MATLAB环境,版本为3.1
libsvm-mat-2[1].89-3[FarutoUltimate3.0Mcode]
- 一般的支持向量机只支持二分类,使用libsvm可以实现多分类,原理也是基于二分类,然后在使用投票机制,经测验,libsvm的分类精度可达85%以上(Multi class supported by libsvm,after testing, the classification accuracy can reach 85%.)