Sentence examples for mixture modelling was from inspiring English sources

Latent growth mixture modelling was used to examine the course of fatigue over time.

Statistical speech models and a probabilistic technique called Gaussian mixture modelling are then used to identify each phoneme, before reconstructing the original word.

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

By default, the mixture model was initialized with 20 components.

Latent growth mixture modeling was used to identify discrete classes of SmokefreeVET users based on engagement patterns.

A statistical multiscale fragile watermarking approach based on a Gaussian mixture model was proposed in [6].

Growth mixture modeling was used to identify classes of depressed mothers based on the longitudinal course of the mother's depression.

This work was based on a single fluid, but a mixture model was used to capture the slip velocity.

For an additional level of comparison, another soft clustering scheme based on Gaussian mixture models was also implemented.

The algorithm involved (Gaussian Mixture Models) was: p X | λ = ∑ i = 1 M w i g X | μ i, ∑ i.

When a mixture model was used to incorporate heterotachy, BI continued to prefer the incorrect MA tree, but ML recovered the true tree with strong support.