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SVM的matlab接口．为利用SVM进行分类提供了一个matlab的环境-SVM Matlab interface. For the use of SVM classification of a Matlab environment
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SVM分类，支持向量机，包括matlab源码，使用非常方便-SVM classification, support vector machines, including Matlab source, the use of very convenient
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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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This program implements SVM classification over libsvm library.
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matlab平台下libsvm程序包进行模式分类-libsvm in matlab to pattern classification
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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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Matlab 源程序，支持向量机的工具箱，用于分类识别研究-Matlab source file，Support vector machine toolboox，for recognition and classification
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libsvm matlab code for classification of remote sensing data
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The following is a matlab code using LIBSVM for loan classification, using german credit dataset and text classification using LIBSVM
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使用matlab libsvm 工具箱能够实现多分类任务(LIBSVM classification)
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Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model
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