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Examples for learning are consistent mappings formed, for instance, by conventional DLM.
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Examples are indispensable for learning in any domain, including mathematics.
Fig. 4 Example of environment for learning generic pointers.
The specialty of this problem is that there is no labeled negative example for learning, which makes traditional text classification techniques inapplicable.
Use the example for learning purposes.
For example, deterministic variance resulting from, for example, learning and forgetting effects was not considered.
For example, learning techniques, for management of troublesome behavior, promoting communication between family members.
For example, while learning parameters for H x, the other two groups L x and M x are fixed.
In the Netherlands, for example, the learning objectives for medical students were formulated in the Blueprint Book, first published in 1994 and updated in 2001 [ 1, 2].
For this task the generation of examples for machine learning was not straightforward.
Currently, for example, learning outside the classroom is not a topic covered in initial teacher training.
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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