Ari

Results: 2485



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101The ONE Simulator for DTN Protocol Evaluation Ari Keränen, Jörg Ott, Teemu Kärkkäinen Helsinki University of Technology (TKK) Department of Communications and Networking {akeranen,jo,teemuk}@netlab.tkk.fi

The ONE Simulator for DTN Protocol Evaluation Ari Keränen, Jörg Ott, Teemu Kärkkäinen Helsinki University of Technology (TKK) Department of Communications and Networking {akeranen,jo,teemuk}@netlab.tkk.fi

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Source URL: www.netlab.tkk.fi

- Date: 2009-01-22 06:15:32
    102Opportunistic Network Environment simulator Ari Ker¨anen Helsinki University of Technology Department of Communications and Networking Special assignment

    Opportunistic Network Environment simulator Ari Ker¨anen Helsinki University of Technology Department of Communications and Networking Special assignment

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    Source URL: www.netlab.tkk.fi

    - Date: 2008-05-29 09:33:08
      103PL16CH06-Prior ARI 7 April 2013

      PL16CH06-Prior ARI 7 April 2013

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      Source URL: www.princeton.edu

      - Date: 2013-05-14 11:42:27
        104Annu. Rev. Psychol:Downloaded from arjournals.annualreviews.org by INDIANA UNIVERSITY - Bloomington onFor personal use only. ANRV331-PS59-23 ARI

        Annu. Rev. Psychol:Downloaded from arjournals.annualreviews.org by INDIANA UNIVERSITY - Bloomington onFor personal use only. ANRV331-PS59-23 ARI

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        Source URL: apophenia.wdfiles.com

        - Date: 2012-09-17 04:57:48
          105Evaluating (Geo) Content Sharing with the ONE Simulator Michael S. Desta, Esa Hyytiä, Ari Keränen, Teemu Kärkkäinen, Jörg Ott Department of Communications and Networking (Comnet), Aalto University michael.desta@aalt

          Evaluating (Geo) Content Sharing with the ONE Simulator Michael S. Desta, Esa Hyytiä, Ari Keränen, Teemu Kärkkäinen, Jörg Ott Department of Communications and Networking (Comnet), Aalto University michael.desta@aalt

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          Source URL: www.netlab.tkk.fi

          - Date: 2014-03-17 11:39:36
            106Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton,∗ Hamid Reza Maei,∗ Doina Precup,† Shalabh Bhatnagar,‡ David Silver,∗ Csaba Szepesv´ari,∗ E

            Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton,∗ Hamid Reza Maei,∗ Doina Precup,† Shalabh Bhatnagar,‡ David Silver,∗ Csaba Szepesv´ari,∗ E

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            Source URL: webdocs.cs.ualberta.ca

            - Date: 2009-05-29 17:59:38
              107Working Guidelines by Sarah MATHESON, Reporter General John OSHA and Anne Marie VERSCHUUR, Deputy Reporters General Yusuke INUI, Ari LAAKKONEN and Ralph NACK Assistants to the Reporter General

              Working Guidelines by Sarah MATHESON, Reporter General John OSHA and Anne Marie VERSCHUUR, Deputy Reporters General Yusuke INUI, Ari LAAKKONEN and Ralph NACK Assistants to the Reporter General

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              Source URL: www.aippi-us.org

              - Date: 2015-04-08 15:00:43
                108Customer Success: ARI Increasing repair volume and revenue for vendors while reducing vehicle repair costs for customers.

                Customer Success: ARI Increasing repair volume and revenue for vendors while reducing vehicle repair costs for customers.

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                Source URL: centigonsolutions.com

                - Date: 2014-03-05 18:44:00
                  109BE14CH06-Rogers ARI ANNUAL REVIEWS

                  BE14CH06-Rogers ARI ANNUAL REVIEWS

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                  Source URL: rogers.matse.illinois.edu

                  - Date: 2012-07-24 16:37:47
                    110EA39CH16-Rhodes ARI ANNUAL REVIEWS

                    EA39CH16-Rhodes ARI ANNUAL REVIEWS

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                    Source URL: activetectonics.asu.edu

                    - Date: 2014-11-10 13:19:39