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libsvm-mat-2.81
- CJ.Lin的著名软件：LibSVM，实现的是SVM分类、回归的快速算法。在Matlab 7.0环境下直接调用。-CJ.Lin the leading software : LibSVM achieve the SVM classification algorithm for the rapid return. Matlab 7.0 environment directly call.
svm_alignment_0.7
- This the implementation of structural SVM for training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative e
SVM-KNN
- 很实用的MATLAB SVM KNN算法,适合7.0以上的办版本使用。-very good
prtools3.1.7.rar
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.,Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on.
LS-SVM-toolbox
- 最新最小二乘支持向量机工具箱和使用说明,里面有详细的说明和实例-the latest LS-SVM toolbox for matlab
svm
- 纠错输出编码的多类支持向量机,自己编辑的码本,完全随机编码,对于7-15类效果很好-err
SVM
- matlab svm 分类程序，适合7.0以上的版本-matlab svm classification procedures suitable version 7.0 or above
MATLAB-SVM-Improvement
- 快速实现预测，SVM方法改进，混沌时间序列。注意：7.0版本以上SVM数据包qp.dll不能运行，需要改。-Rapid realization of prediction, SVM method to improve, chaotic time series. Note: The 7.0 version of the above packet qp.dll SVM can not run, needs to change.
CODE
- 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序
SVM
- 支持向量机SVM的matlab程序代码，matlab版本要在7.0以上-Support Vector Machine SVM' s matlab code, matlab version 7.0 or above in
OSU_SVM3.00
- 很实用的matlab SVM OSU_SVM3.00工具箱，适合在7.0以上的版本安装使用-very good
ATR-7-SVM
- SVM算法的介绍性PPT，主要介绍SVM算法以及编程举例。-SVM algorithm introductory PPT, introduces the SVM algorithm and programming examples.
LS-SVMLab-v1.7(R2006a-R2009a)
- 支持向量机SVM(Support Vector Machine)它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support Vector Machine SVM (Support Vector Machine) it addresses the small sample, nonlinear and high dimensional pattern recognition performance of many unique adva
7-djvu-9812381511
- This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpret
SVM
- svm工具箱，实现了各种核函数，matlab 7.0以上-svm toolbox various nuclear functions matlab 7.0
SVM
- 一个简单的向量机实例，MATLAB7通过，可以用7进行测试(a svm modle,this is a little a little svm use matlab7.0)
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
7.支持向量机
- python中的sklearn的SVM实例演练代码，立刻熟悉SVM的使用过程以及参数调整(Sklearn's SVM instance drill code in python, immediately familiar with the use of SVM and parameter tuning)
fdfg1 (7)
- he second chapter is advanced, which is mainly to straighten out the whole knowledge chain of SVM
LibSVM1.0.10
- weka3.7 LibSVM.jar，主要用于weka进行SVM分类时，找不到jar包，报错LibSVM不在classpath(weka3.7,LibSVM.jar,When SVM is used for classification in weka, jar package is not found, and LibSVM is not in classpath.)