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Brendan Smith
Results: 29

#	Item
21	Learning Latent Personas of Film Characters David Bamman Brendan O’Connor Noah A. Smith School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA {dbamman,brenocon,nasmith}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-10-04 16:29:00 Role-playing video games Human–computer interaction Persona Technical communication Usability Topic model Latent Dirichlet allocation Expectation–maximization algorithm Concentration parameter Statistics Statistical natural language processing Machine learning
22	Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters Olutobi Owoputi∗ Brendan O’Connor∗ Chris Dyer∗ Kevin Gimpel† Nathan Schneider∗ Noah A. Smith∗ ∗ School of Computer Science Add to Reading List Source URL: www.ark.cs.cmu.edu Language: English - Date: 2013-03-23 17:45:13 Part-of-speech tagging Word-sense disambiguation Information retrieval Natural language processing Twitter Search engine indexing Information science Science Computational linguistics
23	A Framework for (Under)specifying Dependency Syntax without Overloading Annotators Nathan Schneider†∗ Brendan O’Connor† Naomi Saphra† David Bamman† Manaal Faruqui† Noah A. Smith† Chris Dyer† Jason Baldr Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-06-23 16:42:43 Syntax Treebank Speech recognition Dependency grammar Parsing Annotation Phrase structure rules Immediate constituent analysis Natural language processing Linguistics Grammar Computational linguistics
24	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: brenocon.com Language: English - Date: 2010-10-15 18:39:09 Estimation theory Dynamic topic model Statistical models Regression analysis Latent Dirichlet allocation Dirichlet process Mixture model Topic model Linear regression Statistics Statistical natural language processing Econometrics
25	Learning to Extract International Relations from Political Context Noah A. Smith Brandon M. Stewart Brendan O’Connor School of Computer Science Department of Government School of Computer Science Carnegie Mellon Univer Add to Reading List Source URL: brenocon.com Language: English - Date: 2013-05-16 00:48:53 Semantics Regression analysis Computational linguistics Natural language processing Predicate Logistic regression Rank N-gram Statistics Linguistics Science
26	Computational Text Analysis for Social Science: Model Assumptions and Complexity Brendan O’Connor∗ David Bamman† Noah A. Smith†∗ ∗ Machine Learning Department Add to Reading List Source URL: brenocon.com Language: English - Date: 2011-12-08 23:10:59 Econometrics Scientific method Statistical models Research methods Topic model Linear regression Data analysis Analysis N-gram Statistics Science Regression analysis
27	3. The USCOM and Inotropy A Guide for Junior Medical and Nursing Staff Brendan E Smith MB,ChB., FFA, RCS. Professor, School of Biomedical Sciences, Add to Reading List Source URL: www.learnhemodynamics.com Language: English - Date: 2013-06-17 23:40:26 Biology Stroke volume Heart failure Contractility Cardiac output Preload Afterload Frank–Starling law of the heart Ejection fraction Cardiovascular physiology Circulatory system Anatomy
28	4. USCOM – What the numbers mean A guide for Nursing and Junior Medical Staff Brendan E Smith MB, ChB., FFA, RCS. Professor, School of Biomedical Sciences, Add to Reading List Source URL: www.learnhemodynamics.com Language: English - Date: 2013-06-17 23:40:27 Cardiac output Heart failure Blood pressure Hemodynamics Preload Vascular resistance Afterload Stroke volume Hypertension Cardiovascular physiology Anatomy Biology
29	Impact of Variable Renewable Energy on US Electricity Markets By J.C. Smith, Stephen Beuning, Henry Durrwachter, Erik Ela, David Hawkins, Brendan Kirby, Warren Lasher, Add to Reading List Source URL: www.consultkirby.com Language: English - Date: 2013-03-21 10:30:20 Technology Intermittent energy source Wind power forecasting Electricity market Renewable energy Renewable Energy Certificate Electrical grid Wind power Demand response Electric power Energy Electric power distribution