Prediction

Results: 27644



#Item
281

What would a data scientist ask? Automatically formulating and solving prediction problems Benjamin Schreck Kalyan Veeramachaneni

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Source URL: dai.lids.mit.edu

- Date: 2016-10-05 21:18:22
    282

    On-line Learning Approach to Ensemble Methods for Structured Prediction ∗ Corinna Cortes Google Research 76 Ninth Avenue New York, NY 10011

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    Source URL: www.cims.nyu.edu

    - Date: 2014-12-04 21:30:02
      283

      JMLR: Workshop and Conference Proceedings vol 49:1–24, 2016 Time Series Prediction and Online Learning Vitaly Kuznetsov VITALY @ CIMS . NYU . EDU

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      Source URL: www.cs.nyu.edu

      - Date: 2016-12-03 12:07:47
        284

        Ad Click Prediction: a View from the Trenches Presented by Brendan McMahan H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sh

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        Source URL: courses.cs.washington.edu

        - Date: 2014-06-23 17:34:53
          285

          江阴职业技术学院优秀学术论文获奖目录 (2010—2011年度) 论 文 题 目 时间 作 者 奖项 理 工 类 Fabric Sewability Prediction with Kernel PCA Based on SFC-RBFNN 2011.9 潘永惠、包

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          Source URL: www.jypc.org

          - Date: 2013-07-25 20:17:15
            286

            Structured Prediction Theory Based on Factor Graph Complexity Corinna Cortes Google Research New York, NY 10011

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            Source URL: www.cs.nyu.edu

            - Date: 2016-11-28 23:40:07
              287

              Search-Based Structured Prediction as Classification Hal Daum´e III1 , John Langford2 and Daniel Marcu3 Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA, Toyota Technological Institute at C

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              Source URL: www.umiacs.umd.edu

              - Date: 2010-08-06 17:02:06
                288

                Optimal Probability Estimation with Applications to Prediction and Classification Jayadev Acharya∗, Ashkan Jafarpour†, Alon Orlitksy‡, and Ananda Theertha Suresh§ University of California, San Diego March 29, 2014

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                Source URL: acsweb.ucsd.edu

                  289

                  1 A Fluid Model for Layered Queueing Networks Mirco Tribastone Abstract—Layered queueing networks are a useful tool for the performance modeling and prediction of software systems that exhibit complex characteristics

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                  Source URL: dl.dropboxusercontent.com

                    290

                    Green  Energy  Workshop  Student  Posters   Smart  Communication  of  Energy  Use  and  Prediction  in  a  Smart  Grid   Software  Architecture     *  Saima

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                    Source URL: ganges.usc.edu

                    - Date: 2011-10-17 17:23:54
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