代码搜索：MIXTURE

找到约 1,805 项符合「MIXTURE」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/177674/9442473

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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www.eeworm.com/read/177674/9442536

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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www.eeworm.com/read/177674/9442671

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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www.eeworm.com/read/176823/9483077

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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www.eeworm.com/read/176823/9483133

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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www.eeworm.com/read/176823/9483140

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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www.eeworm.com/read/176823/9483170

m contents.m

% Netlab Toolbox % Version 3.3.1 18-Jun-2004 % % conffig - Display a confusion matrix. % confmat - Compute a confusion matrix. % conjgrad - Conjugate gradients optimization. % consist - Ch
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www.eeworm.com/read/176823/9483217

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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www.eeworm.com/read/176823/9483363

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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www.eeworm.com/read/425546/10349033

m contents.m

% Netlab Toolbox % Version 3.3.1 18-Jun-2004 % % conffig - Display a confusion matrix. % confmat - Compute a confusion matrix. % conjgrad - Conjugate gradients optimization. % consist
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