代码搜索：MIXTURE

找到约 1,805 项符合「MIXTURE」的源代码

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m mdnerr.m

function e = mdnerr(net, x, t) %MDNERR Evaluate error function for Mixture Density Network. % % Description % E = MDNERR(NET, X, T) takes a mixture density network data structure % NET, a matrix
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m mstep.m

function mixture1 = MStep(mixture, pixels) % MStep perform the M-step of the EM algorithm % from the pnk calculated in the E-step, update parameters of each cluster % for k=1:mixtu
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m genmix.m

function y = genmix(npoints,mean,var,prob) % % y = genmix(npoints,mean,var,prob) % % Generates 'npoints' samples from a mixture % of Gaussian densities. % The dimension of the space is the numbe
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txt readme.txt

This is a set of MATLAB m-files implementing the mixture fitting algorithm described in the paper M. Figueiredo and A.K.Jain, "Unsupervised learning of finite mixture models", IEEE Transaction o
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m demgmm1.m

%DEMGMM1 Demonstrate EM for Gaussian mixtures. % % Description % This script demonstrates the use of the EM algorithm to fit a mixture % of Gaussians to a set of data using maximum likelihood. A colou
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m demhmc1.m

%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians. % % Description % The problem consists of generating data from a mixture of two % Gaussians in two dimensions using a hybr
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m demgmm5.m

%DEMGMM5 Demonstrate density modelling with a PPCA mixture model. % % Description % The problem consists of modelling data generated by a mixture of % three Gaussians in 2 dimensions with a mixture m
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m contents.m

% Netlab Toolbox % Version 3.2.1 31-Oct-2001 % % conffig - Display a confusion matrix. % confmat - Compute a confusion matrix. % conjgrad - Conjugate gradients optimization. % consist - Ch
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m demgmm2.m

%DEMGMM1 Demonstrate density modelling with a Gaussian mixture model. % % Description % The problem consists of modelling data generated by a mixture of % three Gaussians in 2 dimensions. The priors
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m mdnerr.m

function e = mdnerr(net, x, t) %MDNERR Evaluate error function for Mixture Density Network. % % Description % E = MDNERR(NET, X, T) takes a mixture density network data structure % NET, a matrix X of
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