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Carnegie Learning
Results: 541

#	Item
201	Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability Ramesh Nallapati, William Cohen and John Lafferty Machine Learning Department Carnegie Mellon University 50 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 14:58:31 Missing data Latent Dirichlet allocation Linear discriminant analysis Statistics Estimation theory Expectation–maximization algorithm
202	A Comparative Study of Methods for Transductive Transfer Learning Andrew Arnold, Ramesh Nallapati and William W. Cohen Machine Learning Department, Carnegie Mellon University 5000 Forbes Avenue, Pittsburgh, PA 15213, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 14:44:25 Learning Transduction Support vector machine Semi-supervised learning Supervised learning Statistical classification Machine learning Statistics Artificial intelligence
203	1 SimStudent: Building an Intelligent Tutoring System by Tutoring a Synthetic Student Noboru Matsuda, Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-03-18 11:07:18 Knowledge Neuropsychological assessment Cognition Learning Artificial intelligence Cognitive tutor Intelligent tutoring system Problem solving Tutor Educational psychology Education Educational software
204	Multi-Domain Learning: When Do Domains Matter? Mark Dredze Mahesh Joshi School of Computer Science Human Language Technology Center of Excellence Johns Hopkins University Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-06-18 14:25:32 Support vector machine Gain Biology Science Information Protein domain Protein structure Ensemble learning
205	Efficient Cross-Domain Learning of Complex Skills Nan Li, William W. Cohen, and Kenneth R. Koedinger School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh PA[removed]USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-03-20 11:48:39 Neuropsychological assessment Education Mass Cognitive science Developmental psychology Stoichiometry Mole Amount of substance Learning Educational psychology Mathematical analysis Mathematics
206	A Computational Model of Accelerated Future Learning through Feature Recognition Nan Li, William W. Cohen, and Kenneth R. Koedinger School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh PA 15 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-03-18 16:47:58 Cognition Cybernetics Machine learning E-learning Educational psychology Education Learning Knowledge
207	A Machine Learning Approach for Automatic Student Model Discovery Nan Li and William W. Cohen and Kenneth R. Koedinger and Noboru Matsuda, Carnegie Mellon University Student modeling is one of the key factors that affec Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-06-09 17:20:25 Educational psychology Transfer of learning Instructional design Stochastic context-free grammar Practice Education Learning Pedagogy
208	A STACKED GRAPHICAL MODEL FOR ASSOCIATING INFORMATION FROM TEXT AND IMAGES IN FIGURES ZHENZHEN KOU, WILLIAM W. COHEN, AND ROBERT F. MURPHY Machine Learning Department, Carnegie Mellon University 5000 Forbes Avenue, Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-07-26 11:48:16 Primitive types Computer programming Pointer Circular buffer C Reference Graphical model Computing Software engineering Data types
209	Learning and Discovering Structure in Web Pages William W. Cohen Center for Automated Learning & Discovery Carnegie Mellon University Pittsburgh, PA[removed]removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-09-17 10:55:33 Knowledge Internet Wrapper Theoretical computer science Information extraction Machine learning Collaborative filtering Algorithm E-learning Education Science Natural language processing
210	Block-LDA: Jointly modeling entity-annotated text and entity-entity links William W. Cohen Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-01-03 11:15:42 Topic model Document-term matrix Probabilistic latent semantic analysis Perplexity Dynamic topic model Statistical natural language processing Statistics Latent Dirichlet allocation

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