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libsvm-2.36
- 目前准确度最好的支持向量机分类算法,用C++编写.-accuracy of the current best SVM classification algorithm, C preparation.
svm_light_multiclass.tar
- SVM Light的多分类源代码，尤其是可用来做文本分类。SVM（支持向量机）方法是目前已知的最优秀的分类方法之一。SVM不仅可以用来分类，也可以用来做回归。-SVM classification of more source code, in particular used to make text classification. Support Vector Machine (SVM) is currently the best known of the classification met
SVM--SVM
- 支持向量机，用于分类，含训练集与测试集。里面含有六个源程序-support vector machines for the classification, with the training set and test sets. It contains six source
SVM(matlab)
- 支持向量机(SVM)实现的分类算法源码[matlab] -Support Vector Machine (SVM), a classification algorithm source code [Matlab]
GUI_MSVM
- 一个完整的具有图形操作界面的支持向量机模式识别的实验系统.全部用Matlab实现,可以实现多种分类识别. 这是本人的毕业设计的附属程序-complete with a graphical interface SVM pattern recognition to the experimental system. All using Matlab ab realized, could achieve multiple classification. This is my graduation des
GUI_PR_SVM
- 具有图形操作界面的支持向量机多类分类实验系统.全部用Matlab实现,可以实现多种分类识别. 这是本人的毕业设计的附属程序-graphical interface with support vector machines more experimental classification system. All using Matlab, could achieve multiple classification. This is my graduation design procedures f
codeGcLearn
- 这是一个支持向量机的工具，可以实现分类功能-This is a support vector machine tools, can achieve a functional classification
OSU_SVM-Classifier-Matlab-Toolbox-v3.00.00
- 用matlab编写的用语分类的支持向量机-using Matlab language prepared by the breakdown of support vector machines
SVMpdf
- 支持向量机用于分类和回归，SVM的经典文献，搞机器学习的人必备文献。-support vector machines for classification and regression, SVM classic literature and engage in machine learning the necessary documents.
svm_multiclass.tar
- SVM支持向量机多分类器源码，用过的，绝对好用-SVM SVM classifier source, used absolutely everything
LS-SVMlab1.5
- 是支持向量机工具箱（matlab），可用于模式分类，模式识别等。-support vector machines Toolbox (Matlab), can be used for pattern classification, pattern recognition.
1687504099
- 支持向量机(SVM)实现的分类算法源码(matlab)-Support Vector Machine (SVM), a classification algorithm source code (Matlab)
svm_v0[1].55beta.tar
- 用于进行所谓的支持向量机的分析，关键是对信号进行分类，用于处理非线性非平稳信号-used for the so-called support vector machines, the key is the signal classification for handling nonlinear non-stationary signals
ridgeregresssvm
- 最小二乘支持向量机岭回归函数,可以进行预测和分类-least squares support vector machine regression function Ridge, forecasts and classification
denoise_kpca
- 最小二乘支持向量机岭回归函数,可以进行预测和分类-least squares support vector machine regression function Ridge, forecasts and classification
osu-svm
- 支持向量机的演示代码。仿真效果支持向量分类的较好。-SVM demo code. Simulation results support vector classification better.
support_vector_machine_for_vc
- 一个用VC++实现的支持向量机svm分类算法源代码,直接用VC++可以执行。-a VC with the support vector machine svm classification algorithm source code, the direct use of the VC can be implemented.
svm-predict
- 使用SVM支持向量机 预测分类 使用SVM支持向量机 预测分类-use SVM SVM forecast classification SVM SVM classification forecast
libsvm-2.84
- SVM分类，支持向量机，包括matlab源码，使用非常方便-SVM classification, support vector machines, including Matlab source, the use of very convenient
Spider4dataanlysis
- ?Spider-matlab工具箱，为一良好的数据分析工具箱，内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等；支持向量机(SVC)分类；聚类分析等．-Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) c