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updated 1 month ago

Mixtures of Experts, Using Gaussian Mixture Models for the Gate by Joseph Santarcangelo

This code implements the mixture of expert’s using a Gaussian mixture model for the gate. (mixture of experts, gaussian, expectation maximizat...)

OutputMixtureofExpertsParametric(Prior, Mu, Sigma,West,X,...

TwoExpertToyData( )

[Prior, Mu, Sigma,West,Var,Lickyhood] =TrainMixtureofExpe...

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updated 1 month ago

Expectation Maximization Algorithm with Gaussian Mixture Model by Shujaat Khan

Matlab Implementation of EM Algorithm with GMM (em algorithm, gaussian mixture mode..., gmm)

Main

gauss_dist(x,meu,sigma )

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updated 5 months ago

Compact TS-Fuzzy Models through Clustering and OLS plus FIS Model Reduction by Janos Abonyi

An easily interpretable model that does not use the transformed input variables can be formed (fuzzy, expectation maximizat..., orthogonal least squa...)

EMclust(x,f0,m,e,s,rho,TLS,DIA)

GGclust(x,f0,m,e,s,rho,TLS,IDA)

SISOclust(data,c,sched,no)

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updated 6 months ago

GMMEM based pixel labeling and Segmentation.zip by Mohammad Asif Khan

Program segment pixels on the basis of maximum probability obtained using EMGM algorithm (image processing, image segmentation, gaussian mixture mode...)

[meu1,sigma1,wt]=expectmaxx(data,k)

gauss_dist_opt(x,meu,sigma)

callexpectmaxx.m

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updated 7 months ago

GMM based Expectation Maximization Algorithm.zip by Mohammad Asif Khan

Program find the parameters of GMM model using EM algorithm and labels the data into classes (expectation maximizat..., clustering, gmm)

[meu1,sigma1,wt]=expectmaxx(data,k)

gauss_dist(x,meu,sigma)

callEM.m

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updated 11 months ago

Mixture of Partial Least Squares Experts - Mix-PLS by Francisco Alexandre Souza

Mixture of Partial Least Squares Experts (soft sensors, mixture of experts, mixture models)

DoF=pls_dof(t,Yhat,X,y)

K=krylov(A,b,m)

[par,Q_plot]=MIX_PLS_TRAIN(x,y,ne,n_int)

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updated 11 months ago

EMPCA by Vicente Parot

Expectation-Maximization Principal Component Analysis (pca, expectation maximizat..., gpu)

empca(a, ncomps, emtol, maxiters)

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updated almost 2 years ago

3D visualization of GMM learning via the EM algorithm by Johannes

The evolution of a GMM in the EM algorithm is visualized by interpolating between iterations. (expectation maximizat..., gaussian mixture mode..., em)

EM_GMM_3d(c,wk,N,movie,Y,D,Cv)

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updated almost 2 years ago

Expectation Maximization 1D Tracking Demo by Andrew Stachyra

Demos use of expectation maximization algorithm to solve simplified one dimensional tracking problem (expectation maximizat..., unsupervised learning, machine learning)

cov2ellps(ctrd, cov, varargin)

lineexpmax(time, data, measvar, klim,...

polynomfit(x,y,yerr,ncoeff)

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updated almost 2 years ago

Hierarchical Kalman Filter for clinical time series prediction by Shuang Wang

It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. (belief propagation, bp, message passing)

EMConvergence(msg, varNode, ts_data, numLevels)

EMForMultiScaleKalmanFilter(msg, varNode, belief, ts_data...

GaussianDivision(G1, G2)

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updated 5 years ago

gaussian_mixture_model.m by Matthew Roughan

Estimate the parameters of a 1D Gaussian Mixture Model using the EM algorithm. (statistics, estimation, gaussian)

...

norm_density(x, mu, sigma)

normcdf(x, mu, sigma)

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updated 5 years ago

Expectation-Maximization algorithm for bi-variate Normal Inverse Gaussian distribution by Karol Binkowski

Expectation-Maximization (EM) algorithm for bi-variate Normal Inverse Gaussian (biNIG) distribution (simulation, statistics, finance)

EMBIVNIG(x1, x2, iter, tolcrit, alphas, betas1, betas2, d...

binigm1(mu1, mu2, alpha, beta1, beta2, dlt, Sigma)

binigm2(mu1, mu2, alpha, beta1, beta2, dlt, Sigma)

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updated 5 years ago

Expectation Maximization of Gaussian Mixture Models via CUDA by Andrew Harp

CUDA enabled parallel EM for Gaussian Mixture Models, providing over 100x performance increases. (gpu, cuda, gmm)

errorellipse(mu,sigma,stdev,n)

gmm_test(num_clusts, num_dims, num_samps, num_steps, num_...

nvmex(varargin)

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updated almost 9 years ago

Fast EM_GM by Patrick Tsui

An expectation maximization algorithm for learning a multi-dimensional Gaussian mixture. (statistics, probability, expectation maximizat...)

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updated almost 9 years ago

EM_GM by Patrick Tsui

An expectation maximization algorithm for learning a multi-dimensional Gaussian mixture. (statistics, probability, expectation maximizat...)

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