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SVM(Support Vector Machine) 支持向量机算法，遥感影像分类，matlab(SVM (Support Vector Machine) support vector machine algorithm, remote sensing image classification, matlab)
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SVM分类器的matlab实现，针对提供的花的特征分类，并交叉验证(The matlab implementation of SVM classifier aims at providing the feature classification of flowers and cross validation)
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SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification prediction wine species identification)
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python 实现了支持向量机，简单好用(support vector machine a kind of classification algorithm, realize in python)
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支持向量机的matlab实现，对数据进行分类，得出精度(Support vector machine matlab implementation, classification of data, get the accuracy)
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文本分类程序，很多的算法集合，还有各个算法的结果比较(Text classification procedures, the set of many algorithms and compare the results of the algorithm)
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PCA/SVM算法实现图像分类，分类准确率可到达90%(Image classification by PCA/SVM algorithm)
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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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采用svm来做分类，一般能得到较满意的结果，但用svm做分类预测时需要调节相关的参数才能得到比较理想的预测分类准确率，那么svm的参数该如何选取？该程序主要说明如何更好地提升分类器性能。(Use svm to do the classification, the general can get more satisfactory results, but when using svm to do classification prediction need to adjust the relev
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svm algorithm of classification
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该文件主要包含了Matlab条件下开发的SVM算法，该算法主要用于机器视觉的学习与分类(The file mainly includes the SVM algorithm developed under the Matlab condition, which is mainly used for learning and classification of machine vision.)
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SVM图片多分类，包含一组示例图片以及程序，程序有相应的注释，(Multi classification of SVM pictures,Contains a set of sample pictures and programs ,The program has a corresponding annotation .)
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在matlab中的代码，SVM进行心脏病分类，很基本的回归和分类样例(The code in MATLAB, SVM for heart disease classification, very basic regression and classification examples)
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使用HOG提取特征，SVM进行图像分类，可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
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SVM图像分类的论文5篇，是最近几年的，有参考价值(5 papers on the classification of SVM images, which are of reference value in recent years.)
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SVM支持向量机(Support Vector Machine)，使用svm实现样本分类(SVM (Support Vector Machine) classification)
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四种SVM工具箱的分类与回归算法LS_SVMlab、OSU_SVM3.00、stprtool\svm、SVM_SteveGunn(Classification and regression algorithm of four kinds of SVM toolbox LS_SVMlab,OSU_SVM3.00,stprtool\svm,SVM_SteveGunn)
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svm wine classification trial
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它分类的思想是，给定给一个包含正例和反例的样本集合，svm的目的是寻找一个超平面来对样本根据正例和反例进行分割。(The idea of classification is to give a sample set containing positive and negative examples. The purpose of SVM is to search for a hyperplane to segment samples based on positive and negative
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Code classification by using svm with language matlab and c++
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