Your English writing platform
Discover LudwigExact(60)
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.
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.
A continuum bubbly mixture model is used to study the one-dimensional cavitating flow through a venturi.
In this step, two phase mixture model is applied for nanofluid flow analysis and the flow regime is also laminar.
In some sense, this object belongs to all these categories, and simply applying a standard mixture model is not going to give us the sort of multi-level membership.
The multi-phase mixture model is used to describe the transport of oxygen in the form of gas bubbles.
The uncertainty of estimated NDVIs and NDVIv can cause substantial errors in FVC estimations when a simple linear mixture model is used.
A homogeneous equilibrium mixture model is subsequently derived for an example flow consisting of bulk solid, bulk fluid, and undrained granular material with compressible constituents.
It is shown that the resulting mixture model is an extension of the mixture of Gaussians, suitable for both robust clustering and dimensionality reduction.
Write better and faster with AI suggestions while staying true to your unique style.
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