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The model ranks all training examples correctly.
So these are kind of training examples.
They are not actual training examples.
However, EBL utilizes training examples whereas PE does not.
using labeled training examples (x1,y1),..., (xn,yn).
Both the training examples and testing examples are 200.
There were 4146 13822 × 3) training examples in total.
The training examples x i is a support vector (SV).
Performance goes up with the number of training examples.
A database of action exemplars was collected from training examples.
The minimal amount we take out is four training examples.
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