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Concept learning
Results: 882

#	Item
81	Poster Session 2 (Terrace Ballroom 1, Friday Aug 12, 1:00pm - 2:30pm) Space Add to Reading List Source URL: cognitivesciencesociety.org Language: English - Date: 2016-08-04 18:12:50 Cognitive science Mental processes Neuropsychological assessment Cognitive architecture Cognition Deep learning Working memory Concept learning Artificial neural network Memory ACT-R Executive functions
82	Higher Order Cognition using Computers: Learning Abstract Concepts with Recursive Graph-based Self Organizing Maps Peter J. Bentley1, 2, Alexander Kurashov1 and Soo Ling Lim1, 2 1 Braintree Limited, London, United Kingd Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2016-04-28 11:15:27 Dimension reduction Artificial neural networks Self-organizing map Data mining Concept learning Machine learning Cluster analysis Graph database
83	Context-Sensitive Induction Patrick Shafto1 , Charles Kemp1 , Elizabeth Baraff1 , John D. Coley2 , & Joshua B. Tenenbaum1 1 Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology 2 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Reasoning Inductive reasoning Philosophy of science Statistical inference Critical thinking Causality Concept learning Bayesian network Inference Bayesian inference Theory Argument
84	REV_ISS_WEB_COGS_12101_38 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-06-09 15:35:22 Statistics Statistical theory Statistical inference Philosophy of science Bayesian statistics Bayesian network Bayesian inference Bayesian probability Decision theory Prior probability Concept learning Markov chain Monte Carlo
85	Concept cartoons, teaching and learning in science: an evaluation Introduction Concept cartoons had their genesis inAt that time, research into learnersÕ alternative conceptions was having an impact on the beli Add to Reading List Source URL: millgatehouse.co.uk Language: English - Date: 2015-09-17 12:39:37
86	Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia1 , Joshua Abbott2 , Joseph Austerweil3 , Thomas Griffiths2 , Trevor Darrell1 1 UC Berkeley EECS 2 Dept of Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-02-14 18:19:32 Statistics Artificial intelligence Machine learning Cognition Computational neuroscience Concept learning Learning theory ImageNet Artificial neural network Supervised learning Support vector machine Probability distribution
87	www.sciencemag.org/contentsuppl/DC1 Supplementary Material for Human-level concept learning through probabilistic program induction Brenden M. Lake,* Ruslan Salakhutdinov, Joshua B. Tenenbaum Correspondi Add to Reading List Source URL: www.cs.toronto.edu Language: English* - Date: 2016-01-02 00:21:53
88	CrossMark_Color_Stacked_p Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-03-12 17:26:57 Education Educational psychology Learning theory Concept learning Machine learning Educational technology Bias Pedagogical agent
89	1 Running Head: CONCEPT OF LEARNING Taking Ownership of One’s Learning Name Add to Reading List Source URL: domyresearchpaper.com Language: English - Date: 2016-06-14 06:17:51 Educational psychology Learning Educational technology Active learning Differentiated instruction
90	Universal Design for Learning David Rose, Ed.D. CAST The Concept of Add to Reading List Source URL: www.cited.org - Date: 2007-03-13 11:03:04

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