搜索资源列表
mutli-output
- 多输出的支持向量机matlab代码, 常规的svm是单输出，这个是多输出- Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of
mlclass-ex6
- 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave scr ipt for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM p
mysvm
- SVM,支持向量机，matlab 实现，具体实现了SMO算法，线性核，高斯核-SVM,support vector machine ,matlab implement m, In details ,implement SMO algorithm,linear kernel ,RBF kernel
ksvm
- 支持向量机，带核函数的支持向量机的代码实现，在聚类算法中实现非线性分类。-Support vector machine code with kernel function SVM implementation, nonlinear classification clustering algorithm.
svm1
- trainning an svm using non-linaear kernel function. the code can be simulated under Matlab
aa2nt
- trainning and testing an svm using non-linaear kernel function. the code can be simulated under Matlab
demo_libsvm
- How to install the libsvm for MATLAB on Unix machine Linear-kernel SVM for binary classification kernel SVM for binary classification cross validation for C and Gamma multi-class SVM: one-vs-rest (OVR) More ready-to-use matlab example Ava
cube.m
- Simulation of applying a dataset of cubic form to an SVM of radial basis kernel, quadratic kernel and cubic kernel.
quadratic.m
- Simulation/visual plots of a quadratic dataset applied to an SVM having three kernel functions i.e. radial basis, quadratic and cubic kernel functions.
ellipse.m
- Simulation/visual plots of an ellipsoid dataset applied to an SVM having three kernel functions i.e. radial basis, quadratic and cubic kernel functions.
CHENGXU5
- 神经网络SVM实现分类，采用高斯核，标准差经过试验，最终定在0.81。训练和测试样本在1到1000之间间隔取点，训练样本取奇数，测试样本取偶数，没有噪声-SVM neural network to realize classification, USES the gaussian kernel, the standard deviation after test, final set at 0.81.Training and testing samples in the interval bet
MKL
- 多核学习 SVM分类 遥感影像分类算法 -Multiple kernel learning
code_aog
- 一个基于SVM和高斯核的跟踪程序。速度很快。2014年ICCV最佳-A tracking program based on SVM and Gauss kernel. Fast speed
HW6
- non linear svm with libsvm with RBF kernel
code
- 采用SVM设计男女生分类器。采用的特征包含身高、体重、是否喜欢数学、是否喜欢文学、是否喜欢运动共五个特征。要求：采用平台提供的软件包进行分类器的设计以及测试，尝试不同的核函数设计分类器，采用交叉验证的方式实现对于性能指标的评判（包含SE,SP,ACC和AUC，AUC的计算基于平台的软件包）。-Using SVM classifier is designed for boys and girls. Characterized by the use of include height, weight
svmLeafRecognition
- 利用SVM算法对叶片信息进行学习，并利用核函数优化算法进行参数的优化，最后测试叶片的分类结果-SVM algorithm is used to study the leaf information, and the kernel function optimization algorithm is used to optimize the parameters. Finally, the classification results
matrbf
- 在MATLAB中调用核函数为rbf的svm，通过训练数据对测试数据进行分类（仅适用于二分类数据）(In MATLAB, use the kernel function rvf svm, through the training data on the test data classification (only for two categories of data))
libsvm
- libsvm工具箱的主要函数为svmtrain和svmpredict，其中一些参数设置可以按照svm的类型和核函数所支持的参数进行任意组合，如果设置的参数在函数或svm类型中没有也不会产生影响，程序不会接受该参数，程序主要用一个例子来说明主要参数的使用。(The main functions of the libsvm toolbox are svmtrain and svmpredict, some of which can be arbitrarily combined according
85375532SimpleMKL
- SimpleMKL是一种多核分类的算法，SVM的思想(SimpleMKL is one of the multi kernel algorithm)
SVM_Mdl.mat
- These files are matlab source code for price forecasting for smart meter hourly data. Step 1 relevant features are selected by Gray Correlation, Random Forest, Relief F algorithms. Then Kernel PCA of features are calculated. Price is predicted by Ker