MQ

Results: 2979



#Item
221

Synergies in learning words and their referents Mark Johnson , Katherine Demuth , Michael Frank and Bevan Jones 1 1

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Source URL: web.science.mq.edu.au

Language: English - Date: 2010-11-17 20:58:16
    222

    Sign constraints on feature weights improve a joint model of word segmentation and phonology Mark Johnson Macquarie University Joint work with Joe Pater, Robert Staubs and Emmanuel Dupoux

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    Source URL: web.science.mq.edu.au

    Language: English - Date: 2015-07-04 06:35:49
      223

      The Noisy Channel Model and Markov Models Mark Johnson September 3,

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      Source URL: web.science.mq.edu.au

      Language: English - Date: 2014-09-02 20:53:43
        224

        “Life Stories” and text data mining Mark Johnson Lan Du, Anish Kumar Wray Buntine (Monash) Massimiliano Ciaramita (Google Research) Macquarie University

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        Source URL: web.science.mq.edu.au

        Language: English - Date: 2014-05-08 19:55:30
          225

          Detecting Speech Repairs Incrementally Using a Noisy Channel Approach

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          Source URL: web.science.mq.edu.au

          Language: English - Date: 2010-08-25 22:07:18
            226

            Grammars Mark Johnson joint work with many people, including Eugene Charniak, Katherine Demuth, Michael Frank, Sharon Goldwater, Tom Griffiths and Bevan Jones

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            Source URL: web.science.mq.edu.au

            Language: English
              227

              Commun. Math. Phys. 188, 233 – Communications in Mathematical Physics

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              Source URL: web.science.mq.edu.au

              Language: English - Date: 2008-09-07 06:56:21
                228

                Architecture for Integrating Authorization with eAuthentication Dhouha Ayed (THA), Michael Hitchens (MQ), Dieter Sommer (IBM) Daniel Kovacs (IBM) Zubair Baig (ECU) This project has received funding from the

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                Source URL: www.au2eu.eu

                Language: English - Date: 2015-10-05 14:38:01
                  229

                  Bayesian Inference for PCFGs via Markov chain Monte Carlo Mark Johnson, Thomas L. Griffiths and Sharon Goldwater HLT/NAACL 2007

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                  Source URL: web.science.mq.edu.au

                  Language: English - Date: 2010-09-12 19:58:41
                    230

                    Introduction to Machine Learning Mark Johnson Department of Computing Macquarie University 1/58

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                    Source URL: web.science.mq.edu.au

                    Language: English - Date: 2014-08-22 23:46:04
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