Search - libsvm 2.

[Other] LibSVM

Description: 机器学习支持向量机的代码libsvm 2.36版-Lib source code of Machine study supporting Vector machine
Platform: | Size: 653856 | Author: 陈西 | Hits:

Description: LIBSVM is an integrated software for support vector classification. LIBSVM provides a simple interface where users can easily link it with their own programs.
Platform: | Size: 340837 | Author: qianyg | Hits:

[Other resource] libsvm-2.8

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.
Platform: | Size: 457908 | Author: 刘娟 | Hits:

[Other resource] libsvm-2.81

Description: 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 model selection tool for C-SVM classification. This document explains the use of libsvm. -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 model selection tool for C-SVM classification. This document explains the use of libsvm.
Platform: | Size: 461950 | Author: 陈中 | Hits:

[Other] libsvm-2.82.tar

Description: 我一直覺得 SVM 是個很有趣的東西，不過也一直沒辦法 (mostly 衝堂) 去聽林智仁老師的 Data mining 跟 SVM 的課；後來看了一些網路上的文件跟聽 kcwu 講了一下 libsvm 的用法後，就想整理一下，算是對於並不需要知道完整 SVM 理論的人提供使用 libsvm 的入門.-SVM I always think that is something very interesting, but we also have no way (mostly Chong Tong) to listen to the teachers Linzhiren Data mining with SVM's class; Later read some documents on the Internet kcwu listen to speakers with a little libsvm usage, wanted to tidy up, is not for the need to know SVM complete theory for the use of libsvm entry.
Platform: | Size: 405633 | Author: 军 | Hits:

[Other resource] libsvm-2.5

Description: 源码为libsvm2.5和2.6的程序导读欢迎大家探讨为c++代码说明解释-libsvm2.5 source for the procedure and 2.6 Guide to welcome you to explore c code giving explanations
Platform: | Size: 317485 | Author: 望望 | Hits:

[Other resource] libsvm-2.84

Description: 这是一款最新的libsvm工具箱，能在windows与unix环境下运行
Platform: | Size: 408820 | Author: lanxin cai | Hits:

[Other resource] Libsvm-2-using-introduction

Description: svm是模式识别中一个重要的分类方法，libsvm为大家提供了使用svm一个方便的途径，该文件为libsvm的使用说明。
Platform: | Size: 32348 | Author: bmws | Hits:

[Graph Recognize] libsvm-2.85

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.
Platform: | Size: 552277 | Author: 刘亮亮 | Hits:

[Graph program] LibSVM-2.6daimazhushi

Description: 这是一个对libsvm进行解释注释的代码文档，方便刚开始学习并想高度svm的朋友快速入门。
Platform: | Size: 242957 | Author: liuhua | Hits:

[MultiLanguage] libsvm-2.82

Description: svm(支持向量机)是著名的文本分类算法。libsvm是其中的一种实现的最新版本，完全开源。linux环境。
Platform: | Size: 394554 | Author: maming | Hits:

[ADO-ODBC] libsvm-2.82

Description: libsvm支持向量机(Support Vector Machine,简称SVM)。
Platform: | Size: 355671 | Author: 高妮 | Hits:

[Other resource] libsvm-2.85-dense

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。
Platform: | Size: 24502 | Author: 刘铁军 | Hits:

[Other resource] SVM(libsvm)

Description: 林智仁编写的著名的SVM代码(libsvm-2[1]
Platform: | Size: 401684 | Author: shanminyu | Hits:

[Other] libsvm-2.71

Description: 台湾林智仁教授的libsvm源代码通用的支持向量机算法研究平台-Taiwan Linzhiren Professor libsvm common source of support vector machine algorithm research platform
Platform: | Size: 450407 | Author: 山城棒棒儿军 | Hits:

[Windows Develop] libsvm-2.89

Description: 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.
Platform: | Size: 566248 | Author: 327457572@qq.com | Hits:

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