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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-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_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
linzhirenSVMcode(libsvm)
- matlab和C语言的SVM编写的程序，据说很有名，很多人以此为蓝本改进-matlab and C language procedures for the preparation of SVM, it is said well-known, many people draw on to improve
libsvm-mat-2.89-3
- 支持向量机matlab程序，版本libsvm－2.89，包括接口文件-Matlab program of support vector machine
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
- 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
- 支持向量机的matlab程序，台湾支持向量机实验室最新的版本-svmlib
libsvm-mat-2.89-3
- 用于运行SVM的工具包；由林智仁开发成功。可直接在matlab环境下运行 -a toolbox for SVM, explored by LIN.it is feasible to run it in MATLAB
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-3.1
- LibSVM code in Matlab
libsvm-mat-3.0-1
- This is a matlab svm, very useful to the matlab virtual machine
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)