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function [model,b] = robustlssvm(model,ab,X,Y) % Robust training in the case of non-Gaussian noise or outliers % % >> [alpha, b]…
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源码文件
% demoPSOnet.m % script to show a quick, uncomplicated demo of using trainpso for training % a neural net % % tries to build a…
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Netlab Reference Manual fevbayes fevbayes Purpose Evaluate Bayesian regularisation for network forward propagation. Synop…
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Netlab Reference Manual netevfwd netevfwd Purpose Generic forward propagation with evidence for network Synopsis [y, e…
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Netlab Reference Manual mlpevfwd mlpevfwd Purpose Forward propagation with evidence for MLP Synopsis [y, extra] = mlpe…
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Netlab Reference Manual rbfevfwd rbfevfwd Purpose Forward propagation with evidence for RBF Synopsis [y, extra] = rbfe…
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Netlab Reference Manual glmevfwd glmevfwd Purpose Forward propagation with evidence for GLM Synopsis [y, extra] = glme…
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Netlab Reference Manual knn knn Purpose Creates a K-nearest-neighbour classifier. Synopsis net = knn(nin, nout, k, tr_…
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Netlab Reference Manual knnfwd knnfwd Purpose Forward propagation through a K-nearest-neighbour classifier. Synopsis […
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function [AlphaY, SVs, Bias, Parameters, nSV, nLabel] = u_LinearSVC(Samples, Labels,C) % USAGES: % [AlphaY, SVs, Bias, Param…