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Discover LudwigThe phrase "a mixture model" is correct and usable in written English.
It can be used in statistical or data analysis contexts to refer to a model that represents the presence of multiple subpopulations within an overall population.
Example: "In our study, we employed a mixture model to better understand the different customer segments based on their purchasing behavior."
Alternatives: "a composite model" or "a blended model".
Exact(59)
Levin fits the observed gradient histogram using a mixture model.
To handle complex distribution, a mixture model is more appropriate.
A mixture model for the departure times is introduced.
A mixture model is more appropriate tool to handle the multimodal distribution.
Thus, we can form a mixture model, assuming for all : (8).
Figure 4 Illustration of the mapping representation as a mixture model and retrieval process.
We use a mixture model approach to allow for different types of individual preferences.
An AdaBoost ensemble is a mixture model composed of models and weights, as in the previous section.
A popular approach to determine the parameters of a mixture model is the Expectation Maximization (EM) algorithm [24].
Because there is a mixture model for every pixel in the image, we use [27] to execute our algorithm.
It is mathematically similar to a mixture model for depth [24].
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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