and Prediction

Results: 12348



#Item
111Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Excerpt More information

Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Excerpt More information

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Source URL: assets.cambridge.org

- Date: 2016-02-19 05:30:13
    112Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Frontmatter More information

    Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Frontmatter More information

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    Source URL: assets.cambridge.org

    - Date: 2016-02-19 05:30:13
      113Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Table of Contents More information

      Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Table of Contents More information

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      Source URL: assets.cambridge.org

      - Date: 2016-02-19 05:30:13
        114Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Copyright Information More information

        Cambridge University Press5 - Computational Social Science: Discovery and Prediction R. Michael Alvarez Copyright Information More information

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        Source URL: assets.cambridge.org

        - Date: 2016-02-19 05:30:12
          115Strictly Proper Scoring Rules, Prediction, and Estimation Tilmann G NEITING and Adrian E. R AFTERY Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score based on the predictive distr

          Strictly Proper Scoring Rules, Prediction, and Estimation Tilmann G NEITING and Adrian E. R AFTERY Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score based on the predictive distr

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          Source URL: www.stat.washington.edu

          - Date: 2008-05-20 22:04:51
            116Refinements to Interactive Translation Prediction Based on Search Graphs  Philipp Koehn? , Chara Tsoukala? and Herve Saint-Amand? Center for Speech and Language Processing, The Johns Hopkins University

            Refinements to Interactive Translation Prediction Based on Search Graphs  Philipp Koehn? , Chara Tsoukala? and Herve Saint-Amand? Center for Speech and Language Processing, The Johns Hopkins University

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            Source URL: www.aclweb.org

            - Date: 2014-06-12 11:35:03
              117Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps Kang Dang, Jiong Yang, Junsong Yuan School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798 {dang0

              Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps Kang Dang, Jiong Yang, Junsong Yuan School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798 {dang0

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              Source URL: eeeweba.ntu.edu.sg

              - Date: 2015-10-13 02:57:57
                118Computational Modelling and Prediction of Gaze Estimation Error for Head-mounted Eye Trackers DFKI Technical Report Michael Barz Saarland University

                Computational Modelling and Prediction of Gaze Estimation Error for Head-mounted Eye Trackers DFKI Technical Report Michael Barz Saarland University

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                Source URL: resources.mpi-inf.mpg.de

                - Date: 2016-07-14 09:49:03
                  119JMLR: Workshop and Conference Proceedings 3: 1-33  WCCI2008 workshop on causality Design and Analysis of the Causation and Prediction Challenge

                  JMLR: Workshop and Conference Proceedings 3: 1-33 WCCI2008 workshop on causality Design and Analysis of the Causation and Prediction Challenge

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                  Source URL: jmlr.csail.mit.edu

                  - Date: 2009-09-30 13:32:15
                    120Affordance Prediction via Learned Object Attributes Tucker Hermans James M. Rehg  Abstract— We present a novel method for learning and

                    Affordance Prediction via Learned Object Attributes Tucker Hermans James M. Rehg Abstract— We present a novel method for learning and

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                    Source URL: www.ias.tu-darmstadt.de

                    - Date: 2014-04-03 12:42:53