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How should the information be represented so as to allow efficient use and re-use?
Second, how should the emotional information be represented as labels for supervised DNN training, e.g., should emotional class and emotional strength be factorized into separate inputs or not?
For estimating the dialog historical information, let DS t denote the detected DS at the current turn (time t), and the historical state information be represented as DS H = {DS t-1, DS t-2,…, DS1}.
One tenet of REST is that information be represented in transit as self-describing messages.
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This information is represented by arguments.
Depth information is represented in feet below the ground surface.
But what information is represented in a lot of these?
The geometric information is represented as collections of oriented points, and the optical information is represented as bi-directional reflection distribution functions, or BRDFs.
What kind of information is represented where (and when) in the brain?
His laboratory also investigates how timing and numerical information is represented and transformed in the brain.
We don't know how information is represented in the brain.
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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