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libsvm-matlab-1.2
- Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression. It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sificati
libsvm-mat-2.83-1
- 支持向量机的代码。可以仿真支持向量机的效果图-support vector machine code. Simulation can support vector machines map results
libsvm-mat-2.82-2
- SVM的matlab接口．为利用SVM进行分类提供了一个matlab的环境-SVM Matlab interface. For the use of SVM classification of a Matlab environment
libsvm-mat-2.84-1
- 脑机接口支持向量机工具箱最新版本,在matlab下安装使用-brain-Support Vector Machine Interface Toolbox latest version of the Matlab installation
libsvm-weight-2.81
- 一种基于局部密度比权重设置模型的加权支持向量回归模型来单步求解多分类问题：该方法先分别对类样本中每类样本利用局部密度比权重设置模型求出每个样本的权重隶属因子,然后运用加权lib支持向量回归算法对所有样本进行训练,获得回归分类器,希望对大家有用!
libsvm-mat-2[1].83-1
- 台湾大学的使用SVM方法进行线性回归、分类的MATLAB程序
libsvm-mat-2.8-1
- 这是关于支撑向量机算法的matlab程序
libsvm-mat-2.71-2
- matlab实现，附带数据，并有显示结果图的功能，很方便用的-It s implemented using matlab with data as attachment. It also has the function of showing the result and is very convenient to use.
libsvm-mat-2.8-1
- 人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.
libsvm svdd 2.89
- SVDD
libsvm-mat-2.89-3
- 支持向量机
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-2.91-1
- Matlab下支持向量机（SVM）的支持源码，本人主要用这个工具包做预测工作。-Matlab support vector machine (SVM) support source code, I mainly use this kit to do the forecasting work.
libsvm-mat-2.88-1
- 最小二乘支持向量机工具包，内嵌在Matlab环境中运行-LS—SVM tools
morx
- libsvm-2,2,rar,由c＋＋编写,上传共享,多多交流,(Libsvm - 2, 2, rar, written by c + +, upload to share, more communication,)
libsvm-mat-2.91-1
- Matlab上使用SVM所需插件 2. 操作流程： 请注意：详细操作流程请参考上面的“详解”网站，这里只说大框架和详解里没有提到的问题。 A.设置path File->set path ->add with subfolders->加入libsvm-3.11文件夹的路径 B. 在matlab中编译 目的：将libsvm-3.11\matlab 中 libsvmwrite.c 等 C++文件编译成 libsvmread.mexw32 等matl
NLPLibSVM
- svm算法包，简单实现svm，下载下载，机器学习算法（如神经网络BP、支持向量机SVM，循环神经网络JRNN, 递归神经网络LSTM,分组数据处理GMDH, 极限学习机ELM(svm this class label employ a lazy and easy method,any class must written in 0,1,2...so the preprocessing is required)
libsvm-3.20
- 台湾大学林智仁libsvm-3.2,帮助大家来做行人检测训练。(This tool can help us to train our classify machine, obtaining good results.)
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.)
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%.)