Learning statistical models of phenotypes using noisy labeled training data
نویسندگان
چکیده
منابع مشابه
Learning From Noisy Singly-labeled Data
Supervised learning depends on annotated examples, which are taken to be the ground truth. But these labels often come from noisy crowdsourcing platforms, like Amazon Mechanical Turk. Practitioners typically collect multiple labels per example and aggregate the results to mitigate noise (the classic crowdsourcing problem). Given a fixed annotation budget and unlimited unlabeled data, redundant ...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2016
ISSN: 1527-974X,1067-5027
DOI: 10.1093/jamia/ocw028