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Training Set Debugging Using Trusted Items
Training set bugs are flaws in the data that adversely affect machine learning. The training set is usually too large for manual inspection, but one may have the resources to verify a few trusted items. The set of trusted items may not by itself be adequate for learning, so we propose an algorithm that uses these items to identify bugs in the training set and thus improves learning. Specificall...
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ژورنال
عنوان ژورنال: AJN, American Journal of Nursing
سال: 1903
ISSN: 0002-936X
DOI: 10.1097/00000446-190301000-00012