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The quadratic Renyi entropy of Gaussian mixture model has an analytical expression so that its optimization is feasible in mobile sensor networks.
The optimum designs for the estimation of optimum mixing proportions in Scheffé's quadratic mixture model has been studied by Pal and Mandal (2006) and Mandal et al.
The task of obtaining an optimal set of parameters to fit a mixture model has many applications in science and engineering domains and is a computationally challenging problem.
The ball density effect on the internal stress distribution of the asphalt mixture model has been studied when using this method.
The Eulerian two-phase mixture model has provided overall information of species distribution inside a fuel cell and identified that the liquid water usually accumulates under the land area.
A variational Bayesian Gaussian mixture model has been used for classification.
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The convergence properties of EM algorithm over Gaussian Mixture Model have been extensively studied in [19, 20].
The first two, the hard k-means and the Gaussian mixture model, have previously been used in other TF-based clustering BSS systems [14, 24], whilst the fuzzy c-means is the proposed mask estimation technique.
Three-dimensional governing equations with using two-phase mixture model have been solved to investigate hydrodynamic and thermal behaviours of the nanofluid over wide range of nanoparticle volume fractions.
A significant drop in OFV when EST was used instead of MOD indicated that the individual likelihood predictions (based on the individuals' weight) used in the mixture model had poor predictability.
In the regulatory region, the total number of RPol II binding fragments should follow a Poisson distribution; a Poisson mixture model had already been used to identify the microRNA regulatory regions based on the genome wide RPol II binding patterns of protein coding genes [ 19].
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