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 Platform: |
Size: 1024 |
Author:badjj |
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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. Platform: |
Size: 2048 |
Author:yaoyt |
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Description: 利用遗传基因算法对SVM-RFE算法进行优化,从而获取更优异的特征,提高检测率,该算法的SVMtrain利用matlab自带的函数-The use of genetic algorithms to optimize the SVM-RFE algorithm, in order to gain more excellent features, improve the detection rate of the algorithm using matlab comes SVMtrain function Platform: |
Size: 7168 |
Author:wjwei |
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Description: 该算法主要用于实现数值的训练与测试,给定一些训练样本训练,然后对测试样本进行验证(The algorithm is mainly used to train and test the numerical values, to train some training samples, and then to verify the test samples) Platform: |
Size: 32768 |
Author:飘逸的猪 |
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