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Active Learning - An Explicit Treatment of Unreliable Parameters
Active learning reduces annotation costs for supervised learning by concentrating labelling efforts on the most informative data. Most active learning methods assume that the model structure is fixed in advance and focus ...
On combining collaborative and automated curation for enzyme function prediction
(The University of Edinburgh, 2012-11-29)
Data generation has vastly exceeded manual annotation in several areas of astronomy, biology, economy, geology, medicine and physics. At the same time, a public community of experts and hobbyists has developed around ...