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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-2.89.zip
- LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ）等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。 2.89版本是09年刚更新的一个版本。,LIBSVM
libsvmparametersexamples.rar
- 给定一个数据集german.txt 通过libsvm来实现一定范围内参数C和sigma的最优值(需要先安装配置好matlab libsvm),给定一个数据集german.txt 通过libsvm来实现一定范围内参数C和sigma的最优值(需要先安装配置好matlab libsvm)
libsvm-mat-3.0-1
- 台湾林智仁教授编写的svm工具箱，比较好用，是众多SVM工具箱中相当经典的一个，被国内外很多学者所引用。-This tool has been developed by professor Chih-Jen Lin of TaiWan.It is easy to use.Besides it was widely used by scholars all over the world.
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-2.88
- 支撑向量机SVM的工具LIBSVM，能够在windows平台下通过命令行使用，也可以在matlab下调用，适合于研究复杂条件下的分类问题-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM
libsvm_matlab
- 一个MATLAB的支持向量机程序，并包含几个使用实例-A MATLAB support vector machine procedures, and contains several use cases
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-demo
- libsvm-demo,支持向量机的演示程序,对初学者很有用!-libsvm-demo, Support Vector machine demo program, very useful for beginners!
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-2.88
- 应用程序，就是不知道怎么样用，希望有会的同志给指教一下。-libsvm
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
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-3.1
- LibSVM code in Matlab
libsvm-3.17
- 支持向量机，用于模式识别的特征分类，基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)
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)
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