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IGAnn performs an interactive retrieval-like procedure: the system presents the user with images that have higher confidences, and then the user determines which images are actually relevant or irrelevant for a specified label.
The forward algorithm in effect (via dynamic programming) sums the probabilities of all label sequences up to position i that end with a specified label X at word position i and that generate the input up to (and including) that word.
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By collecting relevant and irrelevant images of iterations, a hierarchical classifier associated with the specified label is built using our proposed semi-supervised approach to compute confidence values of unlabeled images.
delete_label Delete the specified label.
display_label Display the specified label.
hide_label Hide the specified label.
hide_label labels Hide the specified label.
delete_label labels Delete the specified label.
display_label labels Display the specified label.
current_label Set the specified label as current.
Set the specified label as current.
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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