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The scope of this study is set for the mixture model of normal distributions with component specific variance, while the number of components is fixed.
The experimental design for the statistical optimization of the composite flour was carried out using optimum mixture model of response surface methodology.
After that, a mixture model of two-pedestrian detector is designed to capture the unique visual cues which are formed by two nearby pedestrians but cannot be captured by single-pedestrian detectors.
The objective of this article was to apply a finite mixture model of bivariate normal distributions that can be used for the construction of componentwise summary receiver operating characteristic (sROC) curves.
The Mixture model of ANSYS Fluent has been used.
Another identification problem is associated with the use of a mixture model of too many components (overfitting).
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Mazoyer, B. et al. Gaussian mixture modeling of hemispheric lateralization for language in a large sample of healthy individuals balanced for handedness.
However, mixture models of some suitable lifetime distributions, have the potential to highlight such interesting feature.
Theoretical Computer Science has brought to bear powerful ideas to find nearly optimal clusterings, while in Statistics mixture models of data have been useful in understanding the structure of data and in developing clustering algorithms.
As compared to simple models, the mixture models of underlying lifetime distributions are intuitively more appropriate and appealing to model the heterogeneous nature of process.
Additionally, we propose a pseudo-relevance feedback algorithm based on the mixture modeling of the Dirichlet compound multinomial distribution to further improve retrieval accuracy.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com