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Carnegie Learning
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#	Item
81	SUMMER 2015: VOL. 4, NO. 2 an audience of laypeople, and then brought their demonstrations to visitors at Carnegie Science Center. “The Science Communication Fellowship Add to Reading List Source URL: carnegiesciencecenter.org Language: English - Date: 2016-01-14 14:52:14 Education Science and technology Academia National Science Foundation Engineering education Experiential learning Mathematics education Science education Science technology engineering and mathematics Community College of Allegheny County Andrew Carnegie Pittsburgh
82	Thank you for registering your child for a summer camp at Powdermill Nature Reserve, the environmental research center of Carnegie Museum of Natural History. We look forward to welcoming your camper with an exciting, Add to Reading List Source URL: artandnaturalhistory.org Language: English - Date: 2016-03-17 11:06:14 Learning Summer camp Camping Culture
83	Aligning context-based statistical models of language with brain activity during reading Leila Wehbe1,2 , Ashish Vaswani3 , Kevin Knight3 and Tom Mitchell1,2 1 Machine Learning Department, Carnegie Mellon University, Pit Add to Reading List Source URL: emnlp2014.org Language: English - Date: 2014-10-16 05:18:46
84	higher education: Civic Mission & Civic Effects A Report by The Carnegie Foundation for the Advancement of Teaching and CIRCLE (The Center for Information and Research on Civic Learning and Engagement) February 2006 Add to Reading List Source URL: archive.carnegiefoundation.org Language: English - Date: 2015-05-27 00:48:12
85	Learning, Simplicity, Truth, and Misinformation Kevin T. Kelly Department of Philosophy Carnegie Mellon University March 5, 2005 Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2005-07-01 06:39:01
86	Exploratory Learning Bhavana Dalvi, William W. Cohen, and Jamie Callan School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 {bbd, wcohen, callan}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-06-28 21:17:04 Machine learning Learning Artificial intelligence Applied mathematics Semi-supervised learning Expectationmaximization algorithm Supervised learning K-means clustering Algorithm PP
87	‘Tis better to construct than to receive? The effects of diagram tools on causal reasoning. Matthew W. Easterday, Vincent Aleven, Richard Scheines Human-Computer Interaction Department, Carnegie Mellon University 5000 Add to Reading List Source URL: delta.northwestern.edu Language: English - Date: 2013-11-19 23:53:56 Diagrams Causality Venn diagram Argument map Learning disability Multiple representations
88	Very Fast Similarity Queries on Semi-Structured Data from the Web Bhavana Dalvi School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-06-16 19:25:15 Statistical classification Statistics Search algorithms Support vector machine K-nearest neighbors algorithm K-means clustering Data Topological graph theory Learning Machine learning
89	Computational Creativity Tools for Songwriters Burr Settles Machine Learning Department Carnegie Mellon University Pittsburgh, PAUSA Add to Reading List Source URL: burrsettles.com Language: English - Date: 2014-03-12 18:30:27
90	Toward an Architecture for Never-Ending Language Learning Andrew Carlson1 , Justin Betteridge1 , Bryan Kisiel1 , Burr Settles1 , Estevam R. Hruschka Jr.2 , and Tom M. Mitchell1 1 School of Computer Science, Carnegie Mel Add to Reading List Source URL: rtw.ml.cmu.edu Language: English - Date: 2010-04-14 11:12:28 Philosophy Cognitive science Linguistics Grammar Coupled pattern learner Machine learning Learning Predicate Argument Control Relation Educational technology

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