搜索资源列表
libsvm-2.33
- LIBSVM is an integrated software for support vector classification. LIBSVM provides a simple interface where users can easily link it with their own programs.
libsvm-2.8
- libsvm升级到2.8版本，针对新的代码稍做修改，重新排版，修正了原版中部分错误 -libsvm upgrading to 2.8 edition,do little chinging on new edition,set up new type,and changing some mistake of original edition.
libsvm-2.81
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic
libsvm-alphaseed-2.81
- The program performs alpha seeding within LIBSVM Solvers. Please refer to: D. DeCoste and K. Wagstaff, \"Alpha Seeding for Support Vector Machines for the meaning of alpha seeding\". -alpha seeding within LIBSVM Solvers. Please refer to : D. DeCo
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.
(origin)libsvm-mat-2.83-1
- matlab的libsvm工具箱，直接在matlab里作为函数调用
libsvm-2.84
- 这是一款最新的libsvm工具箱，能在windows与unix环境下运行
libsvm-mat-2.85-1
- libsvm最新版本2.85matlab接口，上传供大家分享
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-3.1
- libsvm 工具箱 最新版希望对你能用-libsvm toolbox you can use the latest version of hope
libsvm-3.1
- LibSVM code in Matlab
libsvm-3.1
- SVM是一种常用的模式分类机器学习算法，以效率高准确度高闻名于世，libsvm和svmlight是常用的两种SVM实现方法。 这个是台湾林智仁写的，有各种语言版本-SVM is a common pattern classification machine learning algorithm, known to high accuracy, high efficiency, libsvm and svmlight are two commonly used SVM implementation
libsvm-3.21
- LibSVM toolbox for predicting a data.
LIBSVM
- LIBSVM工具箱，提供支持向量机分类及回归预测(LIBSVM Toolbox provides support vector machine classification recognition and regression prediction)
林智仁的matlab libsvm的labview版本
- 林智仁的matlab libsvm的labview版本(If there are any problems with the Labview version of Lin Zhiren's Matlab libsvm, you can contact QQ1373687980)
libsvm-weights-3.22
- libsvm是支持向量机的工具箱，可在matlab和python上运行； libsvm 3.22应该是截止2017年11月16日的最新版本； 网上有详细的配置说明，并不复杂。(libsvm is a support vector machine toolkit that runs on matlab and python; libsvm 3.22 should be the latest version as of November 16, 2017; detailed configurat
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
libsvm-3.22
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式
libsvm-3.22
- 在MATLAB平台下使用libsvm需安装此工具箱，可将工具箱所在目录添加到matlab工作搜索目录。(The toolbox is installed on the MATLAB platform with libsvm, and the directory of the toolbox is added to the MATLAB work search directory.)
libsvm&classify函数使用
- libsvm和classify函数的使用语法(The usage syntax of libsvm and classify functions)