搜索资源列表
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支持向量机工具箱一种,主要解决分类和回归等问题,它是在matlab环境下运行的。-A Support Vector Machine Toolbox, mainly to resolve issues such as classification and regression, which is running in the matlab environment.
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支持向量机工具箱,包括了二种分类,二种回归,以及一种一类支持向量机算法。
-Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
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该工具箱主要介绍支持向量机的使用过程,包括分类与回归,里面的内容很全面,-The toolbox introduce the process of SVM,including classification and aggression,which is very well.
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用自组织特征映射神经网络对Iris数据集进行分类,我用神经网络工具箱编写了个简单的程序,实现iris的分类。-Using self-organizing feature map neural network examples of clustering Iris data set classification, I use neural network toolbox to write a simple program, realize the classification of Iris.
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svm工具箱,可以很好进行分类,并附有实例,可以很直接的看出分类效果-svm toolbox, well classification, with examples, can direct that the classification results
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matlab的模式分类工具箱,包含大量模式识别的经典算法。-The matlab pattern classification toolbox contains a large number of classic pattern recognition algorithms.
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libsvm-3.16工具箱,支持多分类向量机,能载入matlab并运行,已经通过验证的程序,很好-libsvm-3.16 toolbox, support multi-classification vector machine, can be loaded the matlab and running, has been validated procedures, very good
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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
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一款基于svm的程序,在windows下运行,主要用于svm分类-Toolbox: OSU_SVM3.00 Classification_OSU_SVM.m- multi-class classification
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支持向量机(SVM)的matlab工具箱。支持分类和回归。-Support Vector Machine (SVM) matlab toolbox. Support classification and regression.
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实现svm分类,两个代码svm和newsvm,包含源码和txt说明,还附有svm工具箱的安装使用的详细解读及源码应用examples。-Achieve svm classification, two code svm and newsvm, including source code and txt descr iption, but also with svm toolbox installation of detailed interpretation and application sou
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支持向量机中一个工具箱,支持二分类,四种不同的核函数-SVM a toolbox supports two classification, four different kernel functions
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matlab code for classification with XOR via toolbox
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matlab source code for classification with AND without using toolbox
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matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值--attern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
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这里实现了四种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_SteveGu
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Relief计算分类权重,Matlab实现界面友好,matlab开发工具箱中的支持向量机。- Relief computing classification weight, Matlab to achieve user-friendly, matlab development toolbox support vector machine.
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On the Internet to find a pattern recognition toolbox, hope to be useful for a variety of classification
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an excellent matlab toolbox which contains many methods
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非线性分类、函数估计和密度估计等问题的有效方法。(nonlinear classification, function estimation and density estimation)
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