Matching

Results: 8351



#Item
161

U.S. Department of Commerce Digital Matching Firms:Economics A New Definition the “Sharing Economy” Space andinStatistics

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Source URL: www.esa.gov

- Date: 2016-06-03 07:36:34
    162

    Matching Networks for One Shot Learning arXiv:1606.04080v1 [cs.LG] 13 Jun 2016 Oriol Vinyals Google DeepMind

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    Source URL: arxiv.org

    - Date: 2016-06-13 20:46:42
      163

      MAKING GW170817: NEUTRON STARS, SUPERNOVAE AND TRICK SHOTS On 17 August 2017, Advanced LIGO and Advanced Virgo detected a gravitational-wave signal, called GW170817, matching the insprial of two neutron stars. Subsequent

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      Source URL: www.ligo.org

      - Date: 2017-10-22 11:54:08
        164

        Feature Correspondence via Graph Matching: Models and Global Optimization Lorenzo Torresani1, Vladimir Kolmogorov2, and Carsten Rother1 1 Microsoft Research Ltd., Cambridge, UK, {ltorre, carrot}@microsoft.com

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        Source URL: www.cs.dartmouth.edu

        - Date: 2008-07-28 18:13:30
          165

          Fixing Regular Expression Matching Failure Martin Sulzmann1 and Kenny Zhuo Ming Lu2 1 Karlsruhe University of Applied Sciences

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          Source URL: www.home.hs-karlsruhe.de

          - Date: 2015-09-23 08:21:31
            166

            Assistive Technology Resource Guide Matching Assistive Technology with Student Goals OUR VISION

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            Source URL: support.humanware.com

            - Date: 2017-02-08 13:57:53
              167

              Scaling Semantic Parsers with On-the-fly Ontology Matching Tom Kwiatkowski Eunsol Choi Yoav Artzi Luke Zettlemoyer Computer Science & Engineering University of Washington

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              Source URL: yoavartzi.com

              - Date: 2018-04-02 13:13:18
                168

                Improving Color Matching Using iccMAX Chris Bai, Chief Color Scientist, BenQ Corporation Overview • What Happened? • Some More Research…

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                Source URL: www.npes.org

                - Date: 2017-02-10 16:05:10
                  169

                  Setup: Each player selects a tavern and takes the four matching Tavern Level cards and the three Quest Marker cards. Each player’s tavern starts at level one. Shuffle the Quest Deck and divide it into three equal piles

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                  Source URL: www.ratherdashinggames.com

                  - Date: 2017-02-10 09:14:43
                    170

                    Scaling Semantic Parsers with On-the-Fly Ontology Matching Tom Kwiakowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer. Semantic Parsing Q: How many people live in Seattle?

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                    Source URL: yoavartzi.com

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