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Logarithmic Opinion Pools for Conditional Random Fields
Since their recent introduction, conditional random fields (CRFs) have been successfully applied to a multitude of structured labelling tasks in many different domains. Examples include natural language processing ...
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 ...