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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副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.
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Size: 552277 |
Author: 刘亮亮 |
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Description: libsvm最新版本2.85matlab接口,上传供大家分享
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Size: 79943 |
Author: 王邦平 |
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Description: lib-svm软件包,用于分类,可以看作是一个黑盒来使用,也就是作为组件来引用
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Size: 507113 |
Author: liuyu |
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Description: LIBSVM源码。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。
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Size: 24502 |
Author: 刘铁军 |
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Description: 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.
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Size: 457728 |
Author: 刘娟 |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副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.-LIBSVM is林智仁Taiwan University (Lin Chih-Jen), associate professor of design, such as the development of a simple, easy-to-use and fast and efficient pattern recognition and regression SVM package, he compiled to provide not only a series of systems in the Windows implementation of file , also provided the source code to facilitate the improvements, modifications and applications in other operating systems.
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Size: 551936 |
Author: 刘亮亮 |
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Description: libsvm最新版本2.85matlab接口,上传供大家分享-libsvm the latest version of 2.85matlab interface, upload for everyone to share
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Size: 79872 |
Author: 王邦平 |
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Description: lib-svm软件包,用于分类,可以看作是一个黑盒来使用,也就是作为组件来引用-lib-svm software package for classification, can be seen as a black box to use, that is, as a component to invoke
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Size: 506880 |
Author: liuyu |
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Description: 重要程序,主要是关于支持向量机方面的程序,可供你参考,-Important procedures, mainly on the support vector machine procedures for your reference,
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Size: 81920 |
Author: 刘其峰 |
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Description: LIBSVM源码。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。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.
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Size: 24576 |
Author: 刘铁军 |
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Description: 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 regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
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Size: 508928 |
Author: clhhuc |
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Description: LIBSVM是台湾大学林智仁(Lin Chih-Jen)副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。-libsvm285
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Size: 514048 |
Author: zhaosl |
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Description: 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
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Size: 130048 |
Author: xiaobing |
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Description: SVM是一种比较新比较流行的算法,常常用在分类问题和回归问题上。
libsvm相关的matlab代码-SVM is a relatively new algorithm is more popular, often used in classification and regression issues. libsvm-related matlab code
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Size: 4096 |
Author: susan |
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Description: libsvm,svm的开发包,建议在*nix系统下使用-libsvm
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Size: 1914880 |
Author: chaos7 |
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Description: libsvm 工具包-libsvm libsvm libsvm libsvm libsvm libsvmlibsvm libsvm libsvm libsvm libsvm libsvm
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Size: 24576 |
Author: kong |
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Description: 一般的支持向量机只支持二分类,使用libsvm可以实现多分类,原理也是基于二分类,然后在使用投票机制,经测验,libsvm的分类精度可达85%以上(Multi class supported by libsvm,after testing, the classification accuracy can reach 85%.)
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Size: 466944 |
Author: 韩alan |
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