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[Graph DrawingkernelFunction

Description: 计算核函数矩阵 gauss laplace poly hpoly spline cauchy cubic r tps bubble -Calculation of nuclear function matrix gauss laplace poly hpoly spline cauchy cubic r tps bubble
Platform: | Size: 1024 | Author: dq | Hits:

[OthersvmTrain

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 | Hits:

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