Multi-label classification

Results: 131



#Item
1Using multi-label classification methods to classify finger movements for hand prosthesis control Petter Björklund 2017 Department of Biomedical Engineering, Lund University Losing a limb is a traumatic experience that

Using multi-label classification methods to classify finger movements for hand prosthesis control Petter Björklund 2017 Department of Biomedical Engineering, Lund University Losing a limb is a traumatic experience that

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Source URL: bme.lth.se

Language: English - Date: 2018-02-08 06:48:44
    2On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property Maxime Gasse Alex Aussem Haytham Elghazel

    On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property Maxime Gasse Alex Aussem Haytham Elghazel

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    Source URL: cerc-datascience.polymtl.ca

    Language: English - Date: 2018-01-15 08:55:04
      3Determining Word–Emotion Associations from Tweets by Multi-Label Classification Felipe Bravo-Marquez∗ , Eibe Frank∗ , Saif M. Mohammad† and Bernhard Pfahringer∗ ∗ Department  of Computer Science, The Universi

      Determining Word–Emotion Associations from Tweets by Multi-Label Classification Felipe Bravo-Marquez∗ , Eibe Frank∗ , Saif M. Mohammad† and Bernhard Pfahringer∗ ∗ Department of Computer Science, The Universi

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      Source URL: www.cs.waikato.ac.nz

      - Date: 2016-07-14 17:16:13
        4Multi-label Classification using Ensembles of Pruned Sets Jesse Read, Bernhard Pfahringer, Geoff Holmes University of Waikato New Zealand  ICDM 2008, December 15, 2008. Pisa, Italy

        Multi-label Classification using Ensembles of Pruned Sets Jesse Read, Bernhard Pfahringer, Geoff Holmes University of Waikato New Zealand ICDM 2008, December 15, 2008. Pisa, Italy

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        Source URL: users.ics.aalto.fi

        - Date: 2010-10-25 05:08:23
          5On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes

          On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes

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          Source URL: jmread.github.io

          - Date: 2016-05-18 09:25:59
            6A Pruned Problem Transformation Method for Multi-label Classification Jesse Read University of Waikato, Hamilton, New Zealand

            A Pruned Problem Transformation Method for Multi-label Classification Jesse Read University of Waikato, Hamilton, New Zealand

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            Source URL: users.ics.aalto.fi

            - Date: 2010-10-25 05:10:52
              7Multi-label Classification Jesse Read Universidad Carlos III de Madrid. Department of Signal Theory and Communications Madrid, Spain

              Multi-label Classification Jesse Read Universidad Carlos III de Madrid. Department of Signal Theory and Communications Madrid, Spain

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              Source URL: users.ics.aalto.fi

              - Date: 2013-07-15 13:15:28
                8Outline Intro: Multi-label Classification RM: The Ranking M ethod A Probability Distribution for RM END: E nsembles of N ested Dichotomies Related multi-label work: Pairwise Training

                Outline Intro: Multi-label Classification RM: The Ranking M ethod A Probability Distribution for RM END: E nsembles of N ested Dichotomies Related multi-label work: Pairwise Training

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                Source URL: users.ics.aalto.fi

                - Date: 2010-10-25 05:10:52
                  9Multi-label Classification with Meta-labels Jesse Read Antti Puurula  Albert Bifet

                  Multi-label Classification with Meta-labels Jesse Read Antti Puurula Albert Bifet

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                  Source URL: users.ics.aalto.fi

                  - Date: 2014-10-15 03:33:50
                    10Streaming Multi-label Classification Jesse Read† , Albert Bifet, Geoff Holmes, Bernhard Pfahringer University of Waikato, Hamilton, New Zealand †

                    Streaming Multi-label Classification Jesse Read† , Albert Bifet, Geoff Holmes, Bernhard Pfahringer University of Waikato, Hamilton, New Zealand †

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                    Source URL: jmread.github.io

                    - Date: 2016-05-18 09:25:59