搜索资源列表
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pso优化SVM分类，直接调用win32的SVM-pso optimal SVM classification, the SVM directly call win32
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用matlab实现非线性支持向量机分类器对多类进行分类。-Using matlab to achieve non-linear support vector machine classifier for multi-class classification.
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为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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SVM分类器，用于对多维采样点进行分类。可根据类别数修改分类器，我们的模式识别作业。-SVM classifier, multi-dimensional sampling points used for classification. Can be modified according to the number of classification categories, and our pattern recognition operation.
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SVM分类的matlab源码实现。并提供一组数据进行仿真。-SVM classification matlab realization.
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这是我在网上找了很久的多分类支持向量机matlab代码，欢迎交流！-This is my search on the net for a long time many classification support vector machine matlab code, welcome exchanges!
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用matlab实现了SVM算法，并且对两类点进行了分类，给出了图形化的结果。-SVM algorithm is implemented using matlab, and two points on the classification, given the graphical result.
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四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
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matlab svm 分类程序，适合7.0以上的版本-matlab svm classification procedures suitable version 7.0 or above
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支持向量机(SVM)实现的分类算法源码[matlab]-Support Vector Machine (SVM) classification algorithm to achieve source [matlab]
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线性SVM算法设计分类器，对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
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matlab写的SVM分类，tranning和test分开，可直接使用。-matlab write SVM classification, tranning and test separately, can be used directly.
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线性SVM分类，数据已给出，代码很详尽哈-Linear SVM classification, data has been given, the code is very detailed and Kazakhstan
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四种SVM工具箱的分类与回归算法：包括LS_SVMlab,OSU_SVM3.00,stprtool_svm,SVM_SteveGu-Four kinds of SVM classification and regression algorithm toolbox include: LS_SVMlab, OSU_SVM3.00, stprtool_svm, SVM_SteveGunn
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支持向量机 ，2d
举例SVM Classification 2D-SVM Classification 2D examples
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svm插件，安装在MATBLA上面，用于学习SVM分类，对于SVM分类有很大帮助！(SVM plug-in, installed on the MATBLA, is used to learn SVM classification, which is helpful for SVM classification.)
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运用SVM的方法进行分类，运用SVM的相关知识，所提供的两类数据，按照注意里的相关事项完成“bedroom”“forest”的分类。(The use of SVM classification methods, the use of SVM related knowledge, provided by the two types of data, in accordance with the attention of the relevant matters to complete the &q
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支持向量机由Vapnik首先提出，像多层感知器网络和径向基函数网络一样，支持向量机可用于模式分类和非线性回归，该程序主要实现svm的分类和回归功能。(SVM was first proposed by Vapnik. Like multilayer sensor network and radial basis function network, SVM can be used for pattern classification and non-linear regression. The p
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使用matlab自带的函数实现的svm分类算法。(The svm classification algorithm implemented using matlab's own function.)
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svm 分类算法 需要自己 添加训练序列 全套可以运行(SVM classification)
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