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Neural networks model learns the relationship between exogenous variables and price changes.
Hence, this magnitude model learns the walking speed of the crowd.
The Bayesian network model learns the creditee's capability and reliability and anticipates the associated profits and risks for credit setting.
The model learns the case-specific features of hygrothermal behavior using the two years temperature and relative humidity data obtained from the installed probes.
The model learns the dynamic inverse computation of the effect of gravitational torques from its sensorimotor predictions without calculating an explicit inverse computation.
This is unsurprising, as our model learns the distance dependence, even its absence.
Similar(51)
In 15 classrooms across Texas and Virginia, students are using manufacturing design and digital fabrication processes to create physical models, learning the underlying mathematical concepts and using them in meaningful contexts.
However, our NN TEC performs well during the period studied since the NN model learns from the local TEC value.
The model learns to prefer the non-risky over the risky compartments (C ) in order to avoid severe deviations from the setpoint.
However, whereas the original spectral timing model learns by depressing the output of the PC, our model learns by increasing the excitability of both PCs and INs to produce the pause.
The model learns both to identify the presence of solar panels in an image, and to find the shape and area of those panels.
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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