Supervised learning

Results: 1557



#Item
21Supervised Machine Learning for Hybrid Meter Alex Estes & Christopher Hench University of California, Berkeley Department of German Berkeley, CA 94720, USA {estes,chench}@berkeley.edu

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
    22Weakly-Supervised Bayesian Learning of a CCG Supertagger Dan Garrette∗ ∗ Chris Dyer†

    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
      23Automatic Translation of Biomedical Terms by Supervised Machine Learning Vincent Claveau IRISA-CNRS campus de BeaulieuRennes, France

      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
        24LNAIParaphrase Identification on the Basis of Supervised Machine Learning Techniques

        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
          25Loss Factorization, Weakly Supervised Learning and Label Noise Robustness Giorgio Patrini1,2 GIORGIO . PATRINI @ ANU . EDU . AU Frank Nielsen3,4 NIELSEN @ LIX . POLYTECHNIQUE . FR

          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
            26Multi-task Self-Supervised Visual Learning Carl Doersch† arXiv:1708.07860v1 [cs.CV] 25 Aug 2017 †

            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
              27Loss 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

              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
                28C ONTRIBUTED A RTICLE 1 RTextTools: A Supervised Learning Package for Text Classification

                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
                  29Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions Yoav Artzi and Luke Zettlemoyer Computer Science & Engineering University of Washington Seattle, WA 98195

                  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