Sentence examples for mixture model are from inspiring English sources

Behaviours identified by our mixture model are commuting (blue), foraging (black) and resting (red).

The Gaussian distributions of the adaptive mixture model are then evaluated to determine which are most likely to result from a background process.

To facilitate the minimization process, updating rules for parameters of the von Mises-Fisher mixture model are derived.

The parameters of the Gaussian mixture model are estimated by an optimization algorithm which requires a few rounds of dynamic analysis of the nonlinear system.

Examples of species required in the mixture model are provided for Earth, Mars and Venus entries, as well as for hydrogen/air combustion.

The existing popular one-class classification methods including Parzen kernel density estimation, support vector data description and Gaussian mixture model are also applied in order to achieve a comprehensive comparison.

The landscape of the point estimates of the mixture model is shown in Figure 1d.

First, a Bayesian mixture model is developed based on the training patterns.

A quadratic mixture model was developed using RSM with interaction terms as shown by contour/3D plots.

This mixture model is designed to accommodate the correlation among the angular variables.

Finally, the mixture model is formally defined and statistical approaches to estimating its parameters discussed.