搜索资源列表
libsvm-mat-2.89-3
- SVM的多分类问题MATLAB工具包。传统的SVM只支持二分类问题,MATLAB自带的工具包也存在同样的问题。可以在setpath中导入此包,便可轻松将SVM问题扩展到多分类的层面。-A matlab toolkit to solving multi-classification problems based on svm. Traditional svm and the matlab toolkit svmtrain can on
Classification_OSU_SVM
- 是一种支持向量机的改进,能进行多类分类,解决了原SVM二分类的缺陷-Is a kind of support vector machine (SVM) improvement, can multiclass classification, solve the two original SVM classification of defects
SVM-function-available
- 可以实现SVM函数曲线拟合,支持向量机曲线逼近,多类分类等等强大功能,无需修改源程序,直接可用-The SVM function curve fitting, support vector machines curve approximation, powerful multi-class classification, etc., without modifying the source code directly available
svm_smo
- SVM SMO 多分类的c++源码,自己编的,可以运行-SVM SMO multiple classifiers c++ of source code, own series, you can run
Multi-class-SVM--LS_SVMlab
- 工具箱:LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合-Toolbox: LS_SVMlab Classification_LS_SVMlab.m- multi-class classification Regression_LS_SVMlab.m- function fitting
svm
- 支持向量机:用于把数据进行分类,多类分类器。分类正确率高-support vector machine for classification
SVM-matlab
- svm的各种经典的程序,用于对数据、图像进行分类,回归。其中,既包含分两类的程序,也包括分多类的程序,以及svm改进算法的程序。-svm various classic procedures for data, image classification, regression. Which contains both the two types of procedures, including many types of procedu
MIMLmiSVM
- matlab编写的多示例多标记分类程序,采用miSVM算法,svm做分类器,其中附有各个调用函数,和作为例子的数据和主程序,可以运行,可以多多示例多标记样本进行分类。-matlab prepared multi-instance multi-label classification procedures, using miSVM algorithm, svm do classifier, which function with each
SVM-reviewed
- 支持向量机方法中也存在着一些亟待解决的问题,主要包括:如何用支持向量机更有效的解决多类分类问题,如何解决支持向量机二次规划过程中存在的瓶颈问题、如何确定核函数以及最优的核参数以保证算法的有效性等。-Support vector machine (SVM) method also exist some problems to be solved, mainly includes: how to use support vector mac
svm
- 于多类模式分类,使用svm工具箱:LS_SVMlab 使用平台:Matlab6.5 -Multi-class pattern classification, using svm toolbox: LS_SVMlab using the platform: Matlab6.5
SVM
- SVM: 一种分类器,采用最大化分类间隔进行优化参数。 关于这个分类器两点比较重要: 1)SMO优化算法需要掌握, 可以具体参看两篇文章,John Platt的文章 以及“Improvements to Platt s SMO algorithm for SVM Classifier Design” 2)核函数的使用,如何将核函数使用到SVM中,核函数就是空间转换的函数, 说白了就是距离计算函数,如何将同类之
LSSVMlabv1_8_R2006a_R2009a
- 基于LS-SVM的多分类器的工具箱,版本的1.8的。该工具箱很好用,里面的分类我用过,效果比SVM强-LS-SVM classifier 1.8 version of the toolkit
Partial-discharge-signals-of
- 提出了基于主动学习SVM的局部放电模式识别方法。将主动学习的思想引用到“一对一”多分类SVM分类器,选用基于后验概率的釆样函数对放电样本进行选择,挑选出对分类器最有价值的样本进行训练。 -Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to on
simplemkl
- simplemkl一种非常好用的多分类svm方法,例子详细,而且附有论文
multiclass
- 利用SVM进行多分类的matlab 程序,m文件-Multi classification by using SVM matlab program, the m file
Svm-CLassification
- svm分类的源码,多个功能模块,很好的参考-source code of svm classification whic includes some modules,it s a good code.
multisvm1
- 系统自带的svm只能实现二分类,这个svm可以做多分类-Svm system comes only achieve two categories that you can do more svm classification
Classification_LS_SVMlab
- 基于SVM的分类器 支持两类分类 和多类分类选择最优参数-SVM-based classifier supports two types of classification and multi-class classification
Classification_OSU_SVM
- 基于SVM的分类器 支持两类分类 和多类分类-SVM-based classifier supports two types of classification and multi-class classification
Classification_SVM_SteveGunn
- 基于SVM的分类器 支持两类分类 和多类分类 选择最优参数 -Select the optimal parameters of the classifier based on SVM supports two types of classification and multi-class classification