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svmpredict
- support vector machine based prediction
svm
- 这是一个十分完善的SVM算法。包括各种的线性核和非线性核。能够解决各种分类问题。-This is a very good SVM algorithm. Including the linear kernel and nonlinear kernel. To solve various classification problems.
libsvm-mat-2.89-3
- Libsvm 最新版2009年11月1日更新。可用于分类和回归。基本的用法：1.将训练数据集变成libsvm允许的格式；2；设定参数；3使用svmtrain训练；4使用svmpredict分类或回归-The lateset vesrsion of LibSvm released in 1th Nov,2009. It can be used in matlab enviorment.
svm
- SVM分类器 分类各种图片的类别 分类各种图片的类别 -SVM classifiers various pictures of various categories of classification of classified images of various image types
CS4VM
- CS4VM系统是一套用于高效半监督学习。这个包包括了MATLAB算法的CS4VM代码。-CS4VM is a package for efficient cost-sensitive semi-supervised learning. The package includes the MATLAB code of the algorithm CS4VM.
svm-toolbox
- 用C语言编写的SVM工具箱，包含的函数有svmtrain，svmpredict，svm_model_matlab等。-SVM toolbox written in C language, the function contains svmtrain, svmpredict, svm_model_matlab.
svmpredict
- 支持向量机1111的matlab版，内容不错较为新颖 有很强的实用价值-Matlab version, support vector machine 1111 more novel has a strong practical value
svmpredict
- 支持向量机源代码,svm预测,使用libsvm进行分类,优化libsvm的各种参数-svm predict
svmpredict-(2)
- svm二分类问题，用于小样本的简单二分类-svm two classification problems, for a small sample of simple binary classification
svmpredict
- 支持向量机分类函数,用于故障分类预测的正确率计算法函数-Support vector machine classification function,The correct rate of classification for fault prediction method of calculating function
svmpredict
- 台湾林志仁先生设计的svm(支持向量机)的程序-the program of svm
libsvm_X64CouldUse
- windows 64位下编译好的libsvm，可以直接使用 svmpredict.mexw64和svmtrain.mexw64文件-windows 64 bit The following compiled libsvm, can be used directly svmpredict.mexw64 and svmtrain.mexw64 file
svmtrain.mexw64Andsvmpredict.mexw64
- svmtrain.mexw64和svmpredict.mexw64，可以直接在64位下matlab上使用-svmtrain.mexw64 and svmpredict.mexw64, can be used directly in the in X64 matlab
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
SVMPredict
- svm实现股市十几年的预测，预测的结果与实际结果匹配率96 -svm achieve stock market ten years forecast, prediction of actual results matching rate of 96
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