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Description: 关于支持向量机的一种较快速的计算方法,可以提高其计算速度,SVM-demo算法.-on support vector machines a more rapid method of calculation can improve their speed, SVM-demo algorithm.
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Size: 5120 |
Author: 醉心于 |
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Description: 一个关于SVM支持向量机的计算例程, 用MATLAB做的,请多指教-one of the SVM SVM calculation routines, using MATLAB do, please enlighten
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Size: 2700288 |
Author: 蓝圆森 |
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Description: [matlab]支持向量机(SVM)用于分类的算法实现-[matlab] Support Vector Machine (SVM) algorithm for classification
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Size: 2048 |
Author: 吴莉 |
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Description: 崭新矢量机SVM源码,IEEE上发表,技术有一定帮助-New vector machine SVM source, IEEE published, technology has certainly helped
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Size: 144384 |
Author: wang |
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Description: 一种很容易理解的svm matlab工具箱,可用于分类,回归,并附很多示例。-A very easy to understand svm matlab toolbox, can be used for classification, regression, together with many examples.
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Size: 340992 |
Author: 徐杰 |
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Description: 一种很容易理解的svm matlab工具箱,可用于分类,回归,并附有很多示例。-A very easy to understand svm matlab toolbox, can be used for classification, regression, together with many examples.
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Size: 4064256 |
Author: 徐杰 |
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Description: 支持向量机的MATLAB训练测试源代码,绝对好用.-MATLAB Support Vector Machine Training test source code, the absolute ease of use.
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Size: 2816000 |
Author: 郭志强 |
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Description: 这里实现了四种SVM工具箱的分类与回归算法-Here to realize the four SVM toolbox Classification and regression algorithm
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Size: 2706432 |
Author: 李晋博 |
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Description: SVM数据挖掘分类实验系统,matlab svm工具箱使用实例-SVM data mining classification experimental system, matlab svm toolbox using examples
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Size: 699392 |
Author: 楚燕 |
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Description: 这里实现了基于四种SVM工具箱的分类与回归算法:
1、工具箱:LS_SVMlab
Classification_LS_SVMlab.m - 多类分类
Regression_LS_SVMlab.m - 函数拟合
2、工具箱:OSU_SVM3.00
Classification_OSU_SVM.m - 多类分类
3、工具箱:stprtool\svm
Classification_stprtool.m - 多类分类
4、工具箱:SVM_SteveGunn
Classification_SVM_SteveGunn.m - 二类分类
Regression_SVM_SteveGunn.m - 函数拟合
更详细的相关函数说明请通过help命令查看!-Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!
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Size: 2740224 |
Author: 杨愚根 |
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Description: 可实现SVM回归 对所列数据进行分析 分类 实现数值预警-SVM can realize the return on the analysis of the data categories listed in numerical realize early warning
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Size: 1024 |
Author: 张德 |
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Description: svm源代码,其中包括svm源代码及使用svm的练习部分-SVM source code, including source code and the use of SVM SVM practice part
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Size: 4451328 |
Author: 乐乐 |
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Description: 支持向量机
这是我的老师编写的matlab源文件
希望对大家有用-Support Vector Machine This is my teacher, matlab source document prepared for the U.S. hope that useful
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Size: 237568 |
Author: yan zhe |
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Description: 用于matlab环境下的支持向量机svm的工具箱,做这方面的朋友很需要哦-Matlab environment for support vector machine SVM Toolbox, make this area really need a friend Oh
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Size: 283648 |
Author: 张瑶 |
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Description: 支持向量机的方法,matlab编写,用于分类检测,模式识别-Support Vector Machine method, matlab prepared for the classification of detection, pattern recognition
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Size: 2048 |
Author: 王宏伟 |
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Description: 支持向量机matlab源码.zip希望能给大家带来帮助 -Support vector machine matlab source. Zip I hope we can help
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Size: 72704 |
Author: 海拉 |
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Description: 基于svm的文本分类 提供的是svm的核心代码 用于交流合作 严禁用于商业-SVM-based text classification is the core of SVM code for exchanges and co-operation is prohibited for commercial
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Size: 20480 |
Author: tt |
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Description: 支持向量机,利用matlab语言实现,很简单,以word的形式给出-Support Vector Machines, using matlab language is very simple to give the form of word
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Size: 4096 |
Author: Zechao Li |
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Description: 这是我自己编的一个基于svm的多分类程序,但并不是很成功,还望看了给予指点。-This is my own, a SVM-based multi-classification procedures, but not very successful, but also hope to give guidance read.
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Size: 2048 |
Author: wuzhiyi |
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Description: SVM算法,用以进行样本的分类。可以将样本分成两类-SVM algorithm, used for sample classification. Samples can be divided into two categories
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Size: 1024 |
Author: 曹艺 |
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