Fast Expectation Maximization (EM) algorithm for weighted samples in MATLAB

This repository contains functions for obtaining posterior samples of allocation variables in multiple Bayesian over-fitted (sparse finite) mixed-scale mixture models. Mixture models included: 1) Bayesian Tensor Mixture of Product Kernels model (BayesTMPK), 2) Modularized Tensor Factorizations (MOTEF), 3) Bayesian Mixture of Product Kernels (Bay…

note for some.

R package to fit mixture of linear regressions.

Mixture Density Network example with a two component function

Manifold algorithm using a Mixture of Factor Analyzers.

Adaptive Mixture of Student-t distributions

It is envisaged to eliminate these light constituents by distillation (flash or stripping). A preliminary study of the operating conditions of the process can be done in pseudo-binary: we assimilate the C7 cut to n-heptane and the light ones to ethane. We wish to construct the diagrams [T-x-y] and [x-y], [h-x-y] of the ethane-n-heptane binary u…

Unsupervised clustering of sequences of arbitrary length using mixture of discrete-state markov models.

Replication package for Abbring and Salimans (2021), "The Likelihood of Mixed Hitting Times," with MATLAB code for estimating mixed hitting-time models

foehnix package for R

ESE 650: Learning in Robotics Project 1, Color Segmentation using Gaussian Mixture Models

A python implementation of the Fundamental Measure Theory for hard-sphere mixture in classical Density Functional Theory

Unsupervised Learning of Mixture of von Mises-Fisher distributions using Minimum Message Length

ModelGaussian_Mixture_Model

Some examples on computing MLEs using TensorFlow

AIM (Adsorption Integrated Modules) is a collection of MATLAB based GUI modules for adsorption isotherm based fixed bed process modelling

Project code for "Direct Fitting of Gaussian Mixture Models"