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JNI_SVM-light-6.01
- SVM_light是一种非常流行的支持向量机的java接口，-SVM_light is a very popular SVM java interface,
svm_light.tar
- lightSVM的源程序，支持向量机模型-lightSVM source, Support Vector Machine Model
svm_light
- 支持向量机C++源码，本人VC不太会用，贡献了！
svm-light
- 根据joachims在98年提出的svm_light算法的具体实现，程序是作者joachims提供下载的
svm_light
- 支持向量机(3)svm_light-Support Vector Machines(3):svm_light
svm_light
- 支持向量机(3)svm_light,Support Vector Machines(3):svm_light
svm_struct
- 支持向量机(3)svm_struct,Support Vector Machines(3):svm_light
svm_light.tar
- lightSVM的源程序，支持向量机模型-lightSVM source, Support Vector Machine Model
svm_light
- 支持向量机(3)svm_light-Support Vector Machines(3):svm_light
JNI_SVM-light-6.01
- SVM_light是一种非常流行的支持向量机的java接口，-SVM_light is a very popular SVM java interface,
svm_light
- 支持向量机C++源码，本人VC不太会用，贡献了！-Support Vector Machine C++ Source, I do not use VC contributed!
svm-light
- 根据joachims在98年提出的svm_light算法的具体实现，程序是作者joachims提供下载的-Joachims in 98 years under the proposed algorithm svm_light specific realize, procedures are available for download joachims Author
SVM_light
- 本程序用于分类两类数据，分类速度很快，如果分类多类可能还要修改-This procedure for the classification of two types of data, classification fast, if the classification of many types, which may need modification
svm_light
- 用C编写的一个C程序，放在这里供大家讨论，希望对大家有所帮助。-With a C program written in C and placed here for discussion and we want to help.
SVM_Test
- .....svm_light for test data creat by matlab-.....svm_light for test data creat by matlab............
svm_light
- 由cornell的Thorsten Joachims在dortmund大学时开发，成为LibSVM之后最为有名的SVM软件包。开源，用C语言编写，用于ranking问题 -By cornell' s Thorsten Joachims in dortmund university development, to become LibSVM among the most well-known SVM packages. Open
svm_light
- the code for elestic algorithm in c++
svm_light
- svm-light关于c++的编程，能够方便的了解svm的相关功能-svm-light on the c++ programming, to facilitate understanding of the relevant function svm
svm_light
- SVMLight is an implementation of Support Vector Machine (SVM) in C
svm_light
- 这个是SVM—light工具包的最初源代码，，网站上的是编译过的，这个没有，便于修改优化的目标函数-SVM—light toolbox for classiftation and rankingSVM