Labeled data

Results: 83



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1My Vision NoTaking Up the Challenge of the Fourth Industrial Revolution Rapid technological innovation centering on IoT, Big Data and AI, which is being labeled the “Fourth

My Vision NoTaking Up the Challenge of the Fourth Industrial Revolution Rapid technological innovation centering on IoT, Big Data and AI, which is being labeled the “Fourth

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Source URL: english.nira.or.jp

Language: English - Date: 2018-05-21 02:16:02
    2quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

    quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

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    Source URL: www.quotemedia.com

    Language: English - Date: 2018-05-22 19:26:02
      3quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

      quotemedia Corporate Profile QuoteMedia, Inc. is a leading data provider, Internet software developer, data aggregator, and syndicator of unique, private labeled financial content and streaming financial data solutions t

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      Source URL: www.quotemedia.com

      Language: English - Date: 2018-05-22 19:26:02
        4Learning the Structure of Generative Models without Labeled Data  Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the

        Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the

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        Source URL: proceedings.mlr.press

        - Date: 2018-02-06 15:06:57
          5Learning 3D Part Detection from Sparsely Labeled Data: Supplemental Material Ameesh Makadia Google New York, NY 10011

          Learning 3D Part Detection from Sparsely Labeled Data: Supplemental Material Ameesh Makadia Google New York, NY 10011

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          Source URL: www.meyumer.com

          - Date: 2016-10-31 05:41:05
            6Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the primary bottleneck in machine lea

            Learning the Structure of Generative Models without Labeled Data Stephen H. Bach 1 Bryan He 1 Alexander Ratner 1 Christopher R´e 1 Abstract Curating labeled training data has become the primary bottleneck in machine lea

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            Source URL: proceedings.mlr.press

            - Date: 2018-02-06 15:06:57
              7Distant supervision for relation extraction without labeled data  Mike Mintz, Steven Bills, Rion Snow, Dan Jurafsky Stanford University / Stanford, CA 94305 {mikemintz,sbills,rion,jurafsky}@cs.stanford.edu

              Distant supervision for relation extraction without labeled data Mike Mintz, Steven Bills, Rion Snow, Dan Jurafsky Stanford University / Stanford, CA 94305 {mikemintz,sbills,rion,jurafsky}@cs.stanford.edu

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              Source URL: web.stanford.edu

              - Date: 2009-05-29 17:41:43
                8The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit

                The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit

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                Source URL: mmds-data.org

                Language: English - Date: 2016-06-23 15:50:48
                9Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland  Fernando Perez-Cruz

                Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland Fernando Perez-Cruz

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                Source URL: users.ics.aalto.fi

                Language: English - Date: 2014-12-09 08:08:51
                10The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit

                The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit

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                Source URL: mmds-data.org

                Language: English - Date: 2016-06-23 15:50:48