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libsvm-mat-2.81-1
- 支撑向量机库libsvm与matlab的接口,可以连接在matlab中做实验!-Support Vector Machine for libsvm with Matlab interface can be connected to the experimental Matlab do!
libsvm-matlab-1.2
- Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression. It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sificati
libsvm-mat-2.9-1
- SVM的VC程序，有matlab接口，便于调用，还有例子，用于模式识别，分类，预测。-SVM, VC procedures, matlab interface, easy call, as well as an example, for pattern recognition, classification and prediction
libsvm-mat-2.87-1
- libsvm在matlab中的应用。把libsvm嵌入matlab中调用。-libsvm in matlab application. Embedded matlab to call libsvm.
libsvm-mat-2.88-1
- 支持向量机matlab源码，可以针对回归建模进行计算-Support vector machine matlab source, can be calculated against the regression modeling
libsvm-mat-2.88-1
- A simple MATLAB interface LIBSVM authors at National Taiwan University. -A simple MATLAB interface LIBSVM authors at National Taiwan University.
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!
libsvm-mat-2.89-1
- Libsvm - MATLAB version-Libsvm- MATLAB version
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
gridregression
- 根据libsvm中的grid.py改写的支持向量机回归栅格搜索算法-Grid.py According to rewrite the libsvm Support Vector Machine Regression grid search algorithm
libsvm-mat-2.86-1
- 支持向量机2.86版程序，已经调试通过，可以直接使用-Support Vector Machines version 2.86 program, has been debugging through, you can directly use the
libsvm-mat-2[1][1].88-1
- libsvm工具箱matlab的神经网络工具箱实用指南Matlab_BP.rar-libsvm toolbox
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.
LIBSVM
- 详细介绍了LIBSVM（由台湾大学教授编写SVM程序）使用方法，包括前期数据处理，数据导入，训练以及预测-Described in detail LIBSVM (prepared by the National Taiwan University professor of SVM program) using the methods, including pre-data processing, data import, training and prediction
libsvm-mat-2.9-1
- libsvm工具箱，用于分类的绝佳工具，也可用于非线性回归及预测，或拟合，其中文本分类是其长项，回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a ve
libsvm-mat-2.9-1
- libsvm的matlab最新接口,支持64位操作系统下编译,可以超越进程4Gb空间的限制,处理大规模数据-This is the latest libsvm API for matlab supporting to compile under 64 bits OS,which can get away from 4Gb space in order to process large-scale data
libsvm-mat-2.91-1
- 台湾大学林智仁开发的libsvm的matlab最新版，可以实现分类、回归、预测的功能-Lin Zhiren Taiwan University developed the matlab libsvm latest version can be achieved classification, regression, prediction of functional
libsvm-mat-2.91-1
- SVM matlab 工具箱，可以进行SVM分类-SVM matlab toolbox, SVM classification can be
libsvm-mat-2.91-1
- 支持向量机的C++源代码包，用机器学习的方法处理优化问题，可以作为matlab的工具箱。-C++ code for proceeding SVM problems！
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