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Don't Multiply Lightly: Quantifying Problems with the Acoustic Model Assumptions in Speech Recognition.
"Don't Multiply Lightly: Quantifying Problems with the Acoustic Model Assumptions in Speech Recognition," in Proc. of ASRU 2011, 71-76.
The regulators had examined and approved the model assumptions in 1996, but then not looked at them.
The simulation results are further used to analyze commonly adopted model assumptions in presumed PDF methods.
Finally, the most commonly used models for predicting these behaviors are summarized and compared based on the type of model, assumptions in the model, and the physics accounted for in each model.
The CCIR/ITU-R maps generated from ground-based ionosonde measurements suffer from model assumptions, in particular, over the oceans where relatively few measurements are available due to a scarcity of ground-based ionosondes.
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The existence of these distributions is shown to invalidate the plug flow (PF) model assumption in almost all cases.
This is a different version of the faithful model assumption in that now the topological/geometric features of target systems are taken to be faithfully represented by our chaotic models.
Several techniques have been proposed to solve this problem under the linear mixture model assumption in recent years (see [18 43], among several others), but all of them are quite expensive in computational terms.
Example 2 modifies Example 1 by using multivariate Gamma distribution, which appears to be a popular model assumption in literature [ 19].
This conditional independence is a common model assumption in many examples (e.g. Rasmussen et al., 2011; Strelioff et al., 2013).
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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