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Description: train for support vector machine
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Size: 3682 |
Author: 葛建华 |
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Description: 用于图像处理的2类分类问题的程序，有较强的应用性。-For image processing Category 2 classification procedures, have a strong application.
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Size: 115712 |
Author: 王一笑 |
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Description: train for support vector machine
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Size: 3072 |
Author: 葛建华 |
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Description: svmTrain svm在matlab中运行 训练-svmTrain svm training run in matlab
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Size: 1024 |
Author: 丛宽 |
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Description: svm在matlab中的应用的一些程序以及说明-svm application in matlab some of the procedures
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Size: 14439424 |
Author: jorn |
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Description: Libsvm 最新版2009年11月1日更新。可用于分类和回归。基本的用法：1.将训练数据集变成libsvm允许的格式；2；设定参数；3使用svmtrain训练；4使用svmpredict分类或回归-The lateset vesrsion of LibSvm released in 1th Nov,2009. It can be used in matlab enviorment.
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Size: 82944 |
Author: 刘恒 |
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Description: 这是一个libsvm grid的改进,除了可以搜索分类中的C和gamma,还可以搜索小的整数.-This file is a slight modification of grid.py of libsvm. In addition to parameters C, gamma in classification, it searches for epsilon as well.
Usage: grid.py [-log2c begin,end,step] [-log2g begin,end,step] [-log2p begin,end,step] [-v fold]
[-svmtrain pathname] [-gnuplot pathname] [-out pathname] [-png pathname]
[additional parameters for svm-train] dataset
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Size: 3072 |
Author: quarryhero |
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Description: SVM algorithm Algorithm (Training Phase)
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Size: 79872 |
Author: Thuy |
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Description: 一个matlab平台应用的svm工具箱，该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-A matlab platform applications svm toolbox, the kit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm
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Size: 1024 |
Author: badjj |
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Description: svmTrain的程序学习，很适合学习，有很大的帮助-matlab program to learn, it is suitable for all stages of learning, there is a great help
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Size: 7168 |
Author: 仇巧云 |
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Description: 支持向量机训练算法，使用matlab实现的。-Support vector machine training algorithm, implemented using matlab.
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Size: 2048 |
Author: wenyimin |
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Description: libsvm用于matlab环境下，简小易用，速度非常快。-libsvm for matlab environment, simple small easy to use, very fast.
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Size: 2048 |
Author: 孔 |
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Description: this file is great ,it can be used to train a svm model of a speaker.
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Size: 25600 |
Author: baba |
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Description: 支持向量机的分类与回归，可以实现样本数据的分类和数据的趋势预测-SVM classfiction and regression
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Size: 652288 |
Author: 王小明 |
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Description: 用于将数据转换为适合libsvm中svmtrain所要求的格式。用宏编写。-transform your data to the format which is fit for svmtrain in libsvm.
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Size: 55296 |
Author: guoyt |
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Description: 用于支持向量机中，用来训练参加训练的样本，构建模型，找出支持向量-For support vector machines, to participate in the training sample used to train and build a model to identify support vector
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Size: 4096 |
Author: 李想 |
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Description: 用C语言编写的SVM工具箱，包含的函数有svmtrain，svmpredict，svm_model_matlab等。-SVM toolbox written in C language, the function contains svmtrain, svmpredict, svm_model_matlab.
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Size: 80896 |
Author: lily |
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Description: [model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an
SVM classifier and returns trained model. X is the matrix of training
examples. Each row is a training example, and the jth column holds the
jth feature. Y is a column matrix containing 1 for positive examples
and 0 for negative examples. C is the standard SVM regularization
parameter. tol is a tolerance value used for determining equality of
floating point numbers. max_passes controls the number of iterations
over the dataset (without changes to alpha) before the algorithm quits.- [model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an
SVM classifier and returns trained model. X is the matrix of training
examples. Each row is a training example, and the jth column holds the
jth feature. Y is a column matrix containing 1 for positive examples
and 0 for negative examples. C is the standard SVM regularization
parameter. tol is a tolerance value used for determining equality of
floating point numbers. max_passes controls the number of iterations
over the dataset (without changes to alpha) before the algorithm quits.
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Size: 2048 |
Author: yaoyt |
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Description: svmtrain.mexw64和svmpredict.mexw64，可以直接在64位下matlab上使用-svmtrain.mexw64 and svmpredict.mexw64, can be used directly in the in X64 matlab
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Size: 43008 |
Author: 海 |
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Description: matlab系统原来自带的svmtrain函数和svmclassify函数。 有需要的在2017a以前的版本里面也能找到！ 在新版本中（2018以后），你再运行有svmtrain函数的文件，我试了一下结果是，就算你拷贝过来原来的svmtrain函数，还是运行不出来。。所以各位可以下载试一下。。我建议还是转为最新支持的fitcsvm函数吧！(svmtrain and svmclassify function)
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Size: 22528 |
Author: AAAlj |
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