Learning sciences

Results: 3577



#Item
31

Problems in Learning under Limited Resources and Information by Yi Huang B.Sc., Nankai University, Tianjin, China, 2004 M.S., Chinese Academy of Sciences, Beijing, China, 2008

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Source URL: www.levreyzin.com

Language: English - Date: 2018-07-17 15:22:07
    32

    Sean Duncan CV – April, Sean C. Duncan Assistant Professor Learning Sciences Program, Department of Counseling and Educational Psychology Indiana University

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    Source URL: se4n.org

    - Date: 2017-04-20 13:29:02
      33

      Bachelor of Science in Health and Human Sciences ● Child and Family Studies Major ● Early Development and Learning PreK-K Concentration The University of TennesseeCatalog Student Name: Student ID#

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      Source URL: cfs.utk.edu

      - Date: 2017-08-14 08:29:20
        34

        LEARNING SCIENCES (LS) CURRICULUM The Learning Sciences (LS) concentration, new at Northwestern as of Fall 2016, equips students with the theoretical and practical knowledge to understand learning in a wide range of soci

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        Source URL: www.sesp.northwestern.edu

        - Date: 2018-04-03 02:00:15
          35

          Bjornsson, Y. and Marsland, T. A., Learning Control of Search Extensions, Procs. 6th Joint Conf. on Information Sciences, Research Triangle Park NC, (March 2002): Learning Control of Search Extensions Yngvi Bj¨

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          Source URL: www.top-5000.nl

            36

            2013 IEEE International Conference on Computer Vision Learning Hash Codes with Listwise Supervision Jun Wang Business Analytics and Mathematical Sciences IBM T. J. Watson Research Center

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            Source URL: www.ee.columbia.edu

            - Date: 2014-04-27 03:25:50
              37

              CONFERENCE BOARD OF THE MATHEMATICAL SCIENCES 1529 Eighteenth Street NW, Washington DCwww.cbmsweb.org Active Learning in Post-Secondary Mathematics Education 15 July 2016

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              Source URL: www.cbmsweb.org

              - Date: 2017-06-05 15:18:07
                38

                People in Personal Learning Networks: Analysing their Characteristics and Identifying Suitable Tools Kamakshi Rajagopal, Steven Verjans, Peter B. Sloep Centre for Learning Sciences and Technologies, Open Universiteit, ka

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                Source URL: www.lancaster.ac.uk

                - Date: 2012-03-05 09:27:47
                  39

                  Online Learning of Deep Hybrid Architectures for Semi-Supervised Categorization Alexander G. Ororbia II, David Reitter, Jian Wu, and C. Lee Giles College of Information Sciences and Technology, The Pennsylvania State Uni

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                  Source URL: www.david-reitter.com

                  - Date: 2016-12-01 11:37:10
                    40

                    Efficient Learning of Sparse Representations with an Energy-Based Model Marc’Aurelio Ranzato Christopher Poultney Sumit Chopra Yann LeCun Courant Institute of Mathematical Sciences New York University, New York, NY 100

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                    Source URL: papers.nips.cc

                    - Date: 2013-11-28 03:28:02
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