I'm Spanish and I don't understand the meaning of "non-held-out". I have tried Google Translator and online dictionaries like Longman but I can't find a suitable translation for this term.
You can find these term using this Google Search, and in articles like this one:
- "computing SVD on the non-held-out data" from here.
- "The training set consists all the images and annotations containing non-held-out classes while held-out classes are masked as background during the training" from Few-Shot Semantic Segmentation with Prototype Learning.
- "A cross-validation procedure is that non held out data (meaning after holding out the test set) is splitted in k folds/sets" from here.
What is non-held-out data and held-out data or classes?