文件名称:libsvm-2.85-dense
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [C/C++] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 24kb
- 下载次数:
- 0次
- 提 供 者:
- 刘**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
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.
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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下载文件列表
libsvm-2.85-dense
.................\Makefile
.................\README
.................\svm-predict.c
.................\svm-scale.c
.................\svm-train.c
.................\svm.cpp
.................\svm.h
.................\Makefile
.................\README
.................\svm-predict.c
.................\svm-scale.c
.................\svm-train.c
.................\svm.cpp
.................\svm.h