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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Utility of routine follow-up head CT scanning after mild traumatic brain injury: a systematic review of the literature Stippler, Martina; Smith, Carl; McLean, A Robb. - : British Medical Journal Publishing Group, 2012 BASE Show details 2 Utility of routine follow-up head CT scanning after mild traumatic brain injury: a systematic review of the literature Stippler, Martina; Smith, Carl; McLean, A Robb. - : BMJ Publishing Group Ltd, 2012 BASE Show details 3 Coupling Semi-Supervised Learning of Categories and Relations ... Carlson, Andrew; Betteridge, Justin; Estevam Hruschka; Mitchell, Tom. - : Carnegie Mellon University, 2009 Abstract: We consider semi-supervised learning of information extraction methods, especially for extracting instances of noun categories (e.g., ‘athlete,’ ‘team’) and relations (e.g., ‘playsForTeam(athlete,team)’). Semisupervised approaches using a small number of labeled examples together with many unlabeled examples are often unreliable as they frequently produce an internally consistent, but nevertheless incorrect set of extractions. We propose that this problem can be overcome by simultaneously learning classifiers for many different categories and relations in the presence of an ontology defining constraints that couple the training of these classifiers. Experimental results show that simultaneously learning a coupled collection of classifiers for 30 categories and relations results in much more accurate extractions than training classifiers individually. ... Keyword: 170203 Knowledge Representation and Machine Learning; FOS Psychology URL: https://dx.doi.org/10.1184/r1/6475535.v1 https://kilthub.cmu.edu/articles/Coupling_Semi-Supervised_Learning_of_Categories_and_Relations/6475535/1 BASE Hide details 4 Coupling Semi-Supervised Learning of Categories and Relations ... Carlson, Andrew; Betteridge, Justin; Estevam Hruschka. - : Carnegie Mellon University, 2009 BASE Show details 5 Predicting human brain activity associated with the meanings of nouns Mitchell, Tom M.; Shinkareva, Svetlana V.; Carlson, Andrew... In: Science. - Washington, DC : AAAS, American Assoc. for the Advancement of Science 320 (2008) 5880, 1191-1195 BLLDB Show details 6 Predicting human brain activity associated with the meanings of nouns ... Mitchell, Tom M.; Shinkareva, Svetlana V.; Carlson, Andrew. - : Carnegie Mellon University, 2008 BASE Show details 7 Predicting human brain activity associated with the meanings of nouns ... Mitchell, Tom M.; Shinkareva, Svetlana V.; Carlson, Andrew. - : Carnegie Mellon University, 2008 BASE Show details 8 Data Analysis Project: Leveraging Massive Textual Corpora Using n-Gram Statistics Carlson, Andrew; Mitchell, Tom M.; Fette, Ian In: DTIC (2008) BASE Show details

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