搜索资源列表
SVM_luzhenbo
- BP神经网络用于分类与回归 1、NeuralNetwork_BP_Classification.m - 分类 2、NeuralNetwork_BP_Regression.m - 回归 -BP neural network for classification and regression 1, NeuralNetwork_BP_Classification.m- Category 2, NeuralNetwork_BP_Regression.m- Regression
svdd
- 超球面支持向量机，一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
libsvm-mat-2.88-1
- matlab编写的SVM分类器源代码，效果不错，是很好的东西哦！-matlab prepared SVM classifier source code, well, things are good Oh!
SVMbyQuadprog
- This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
Southamptonsvmtoolbox
- svm已经广泛用于解决分类和回归问题。 此工具箱是由South ampton大学的S. R. Gunn编写的Matlab SVM Toolbox。该工具箱运行在MATLAB环境下,由许多用m语言编写的脚本文件和函数组成,为SVM 技术的工程化、实用化提供了一个良好的平台。-South ampton university svm toolbox
GA
- 遗传算法工具箱以及用遗传算法找最优值，主函数是zuiyou.m-Genetic Algorithm Toolbox and using genetic algorithms to find optimal values, the main function is zuiyou.m
gmm
- 高斯混合模型的详细实现 内有多个.m文件-Gaussian mixture model has a number of detailed implementation. M files
ActionRecognition_codes
- Serre code for action recogniiton in matlab using svm
SVM
- 支持向量机 matlab 源代码 m文件-SVM matlab
svm4
- -s svm类型：SVM设置类型(默认0) 0 -- C-SVC 1 --v-SVC 2 – 一类SVM 3 -- e -SVR 4 -- v-SVR -t 核函数类型：核函数设置类型(默认2) 0 – 线性：u v 1 – 多项式：(r*u v + coef0)^degree 2 – RBF函数：exp(-r|u-v|^2) 3 –sigmoid：tanh(r*u v + coef0) -d degree
K-Fold_CV_Tool
- MATLAB cross-validation tool for classification and regression v0.1 FEATURES: + K-fold cross validation. + Arbitrary train and prediction functions with parameters can be used. + Arbitrary loss function can be used. + Wrappers for
SVM--M
- 支持向量机的经典算法，是用M语言写的，对于学数据挖掘的有用。-The classical SVM algorithm is written in M, for the study of useful data mining.
MATLAB
- MATLAB函数参考手册，查看matlab函数作用以及功能。- SVMLSPex02.m Two Dimension SVM Problem, Two Class and Separable Situation Difference with SVMLSPex01.m: Take the Largrange Function (16)as object function insteads ||W||, so it need more
SVM-Multiregression
- SVM Multiregression for Non Linear Channel Estimation in Multiple-Input Multiple-Output Systems 在多输入多输出系统中的SVM多元回归非线性逼近-This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective channel estimation. We d
m-
- 用小波变换进行图像预处理，再用自编小程序寻优参数，并用svm分类-Using wavelet transform for image preprocessing, and then writing small programs optimization parameters, and SVM classification
feature-selection-svm
- 特征选择算法，效果很好。可以解决维数高、训练样本数少的问题。-include both C version (mex-function) and Matlab version: SBSVM_c.cc SBSVM_m.m A testing case is also provided in file Speed_Comp.m
SVM
- SVM神经网络的数据分类预测-葡萄酒种类识别 基于matlab的.m文件。-SVM neural network data classification forecast- wine species identification based on matlab m file.
SVM
- SVM神经网络的回归预测分析---上证开盘指数预测。 基于matlab的.m文件-SVM Regression analysis of the neural network--- permit opening index forecast. Matlab-based m file
M
- 自己的一点小资料，很乱，设计一些例子，svm的，之类的-Little information, messy, design examples, svm, like the
report_SVM_SOFM.m
- SVM + Self organing map for data clustering