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Li Nan
Results: 98

#	Item
31	Blenoraji – Fèy Enfòmasyon CDC Kisa blenoraji ye? Blenoraji se yon maladi moun pran nan fè bagay (sexually transmitted disease, STD) ki kapab enfekte gason tankou fanm. Li kapab lakòz enfeksyon nan pati jenital, re Add to Reading List Source URL: www.cdc.gov Language: Indonesian - Date: 2015-03-03 10:48:29
32	PRESS RELEASE Li & Fung Completes Successful Spin-off and Listing of Global Brands Hong Kong, July 9, 2014 – Li & Fung Limited (“Li & Fung”, “the Group”, or “the Company”, SEHK: 494), the world’s leading Add to Reading List Source URL: www.lifung.com Language: English - Date: 2014-07-08 22:21:58 Nan Fung Group Economy of Hong Kong Li & Fung William Fung
33	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
34	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
35	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
36	Problem Order Implications for Learning Transfer 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 11:48:32 Learning Psychology Mind Problem solving Skill Educational psychology Neuropsychological assessment Education
37	The Keeping Quilt/Yon Kouvreli Familyal Nan tan lontan Anna se yon Ris ki te debake an Amerik ak fanmi li. Fanmi an te rete nan New York City. Yo sonje lakay yo anpil. Yo te gen nostalji. Konsa manman Ana koud yon kouvre Add to Reading List Source URL: bilingual.dadeschools.net Language: English - Date: 2010-08-06 12:08:54 Folk art Quilt Pou Copula Haiti Cherie Haitian Creole language Linguistics Quilting Blankets
38	Creating Features from a Learned Grammar in a Simulated Student Nan Li and Abraham Schreiber and William W. Cohen and Kenneth R. Koedinger1 Abstract. Understanding and developing intelligent agents that simulate human le Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-10-01 10:08:43 Science Programming paradigms Compiler construction Machine learning Predicate logic Predicate Parse tree Parsing Logic programming Logic Formal languages Linguistics
39	Integrating Perceptual Learning with External World Knowledge in a Simulated Student Nan Li, Yuandong Tian, William W. Cohen, and Kenneth R. Koedinger School of Computer Science Carnegie Mellon University 5000 Forbes Ave Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-06-04 16:51:20 Mind Perceptual learning Learning Intelligent tutoring system Natural language processing Stochastic context-free grammar ACT-R Second-language acquisition Transfer of learning Educational psychology Science Knowledge
40	Discovering Student Models with a Clustering Algorithm Using Problem Content Nan Li William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-06-05 09:37:13 Data analysis Formal sciences Cluster analysis Data mining Geostatistics K-means clustering Educational data mining Segmentation N-gram Statistics Science Machine learning

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