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3下载：
一个包含丰富内容的流形学习算法工具包，有图形示例文件demo.fig，包括laplacian特征映射算法、流形规则调整、svm分类算法等内容，希望对研究机器学习的朋友有用。-contains a rich content of the manifold learning algorithm tool kit, graphics documents demo.fig example, laplacian features include mapping algorithm manifold rul
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用C语言实现的最新且最快的SVM源码,可用于解决多类分类问题-C language of the latest and fastest source of SVM can be used to solve the multi-category classification
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一个完整的具有图形操作界面的支持向量机模式识别的实验系统.全部用Matlab实现,可以实现多种分类识别. 这是本人的毕业设计的附属程序-complete with a graphical interface SVM pattern recognition to the experimental system. All using Matlab ab realized, could achieve multiple classification. This is my graduation des
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一个SVM分类算法，windows下可以直接使用，在网络上可以找到源代码-an SVM classification algorithm, windows can be directly used on the network can find the source code
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支持向量机用于分类和回归，SVM的经典文献，搞机器学习的人必备文献。-support vector machines for classification and regression, SVM classic literature and engage in machine learning the necessary documents.
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支持向量机(SVM)实现的分类算法源码(matlab)-Support Vector Machine (SVM), a classification algorithm source code (Matlab)
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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_Ste
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一个用VC++实现的支持向量机svm分类算法源代码,直接用VC++可以执行。-a VC with the support vector machine svm classification algorithm source code, the direct use of the VC can be implemented.
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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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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 mo
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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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CJ.Lin的著名软件：LibSVM，实现的是SVM分类、回归的快速算法。在Matlab 7.0环境下直接调用。-CJ.Lin the leading software : LibSVM achieve the SVM classification algorithm for the rapid return. Matlab 7.0 environment directly call.
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这是一个采用c++编写的用于机器学习文本分类的SVM算法的实现代码。-c prepared using machine learning for text classification of SVM codes.
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一个用于MRI和CT图像检索的程序，使用了SVM分类算法和AdaptBoost自适应增强算法。-for an MRI and CT image retrieval procedures, the use of SVM classification algorithm and AdaptBoost adaptive enhancement algorithms.
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svm算法的实现分类技术，vc++实现，很有用的。希望对大家有所帮助。-svm classification algorithm to achieve the technology, vc realized, very useful. We want to help.
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svm是在结构风险基础上发展而来的，在分类，拟合等方面具有较好多的应用前景，-svm in structure on the basis of risk from the development of the classification, Fitting and other aspects of the application of more good prospects,
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java编写的分类算法实现，包括svm,knn等多种基于机器学习的分类算法。-java prepared by the classification algorithm, including svm. knn and other machine learning-based classification algorithm.
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应用java实现的svm支持向量机的分类算法！相信对svm感兴趣的朋友有很大帮助！-java application realized svm SVM classification algorithm! Believe that the right svm interested friends will be of great help!
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应用c＋＋实现的svm向量机分类算法，相信对svm感兴趣的朋友有帮助！-c + + applications to achieve the svm vector machine classification algorithm, I believe right svm interested friends!
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2下载：
svm在matlab环境下多类分类中的一对多分类器类型程序-svm in Matlab environment over classification of the one-to-many types of procedures classifier
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