Supervised learning

Results: 1557



#Item
21

Supervised Machine Learning for Hybrid Meter Alex Estes & Christopher Hench University of California, Berkeley Department of German Berkeley, CA 94720, USA {estes,chench}@berkeley.edu

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Source URL: aclweb.org

Language: English - Date: 2016-06-27 23:47:16
    22

    Weakly-Supervised Bayesian Learning of a CCG Supertagger Dan Garrette∗ ∗ Chris Dyer†

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    Source URL: www.cs.cmu.edu

    Language: English - Date: 2014-05-01 08:09:04
      23

      Automatic Translation of Biomedical Terms by Supervised Machine Learning Vincent Claveau IRISA-CNRS campus de BeaulieuRennes, France

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      Source URL: people.irisa.fr

      Language: English - Date: 2014-11-04 05:38:07
        24

        LNAIParaphrase Identification on the Basis of Supervised Machine Learning Techniques

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        Source URL: www.kozareva.com

        Language: English - Date: 2013-12-23 02:35:15
          25

          Loss Factorization, Weakly Supervised Learning and Label Noise Robustness Giorgio Patrini1,2 GIORGIO . PATRINI @ ANU . EDU . AU Frank Nielsen3,4 NIELSEN @ LIX . POLYTECHNIQUE . FR

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          Source URL: giorgiop.github.io

          - Date: 2018-03-21 18:13:45
            26

            Multi-task Self-Supervised Visual Learning Carl Doersch† arXiv:1708.07860v1 [cs.CV] 25 Aug 2017 †

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            Source URL: arxiv.org

            - Date: 2017-08-28 20:15:25
              27

              Loss factorization, weakly supervised learning and label noise robustness Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni Australian National University, Data61 (ex NICTA), Ecole Polytechnique, Sony CS Lab

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              Source URL: giorgiop.github.io

              - Date: 2018-03-21 18:13:46
                28

                C ONTRIBUTED A RTICLE 1 RTextTools: A Supervised Learning Package for Text Classification

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                Source URL: www.amber-boydstun.com

                - Date: 2017-09-28 17:28:52
                  29

                  Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions Yoav Artzi and Luke Zettlemoyer Computer Science & Engineering University of Washington Seattle, WA 98195

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                  Source URL: yoavartzi.com

                  - Date: 2018-04-02 13:13:18
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