Markov

Results: 4982



#Item
91

A Markov Model of Server to Client IP traffic in First Person Shooter Games Philip Branch, Grenville Armitage, Antonio L Cricenti Centre for Advanced Internet Architectures

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Source URL: caia.swin.edu.au

Language: English - Date: 2010-09-09 01:33:31
    92

    Markov Chains and Mixing Times David A. Levin Yuval Peres Elizabeth L. Wilmer University of Oregon E-mail address:

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    Source URL: yuvalperes.com

    Language: English - Date: 2016-11-20 20:54:48
      93

      EE365: Markov Decision Problems Markov decision process Markov decision problem Examples

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      Source URL: www.nicholasmoehle.com

      Language: English - Date: 2018-07-21 22:31:59
        94

        Performance Evaluation of Fischer’s Protocol through Steady-State Analysis of Markov Regenerative Processes Stefano Martina, Marco Paolieri, Tommaso Papini, and Enrico Vicario Department of Information Engineering, Uni

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        Source URL: www-bcf.usc.edu

        - Date: 2017-06-22 05:41:16
          95

          COARSE-GRAINING OPEN MARKOV PROCESSES John C. Baez Department of Mathematics University of California Riverside CA, USA 92521

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          Source URL: math.ucr.edu

          - Date: 2018-03-20 15:49:50
            96

            Mean-payoff objectives for Markov Decision Processes Pranav Ashok1 , Krishnendu Chatterjee2 , Przemysław Daca2 , Jan Kˇret´ınsk´y1 and Tobias Meggendorfer1 1 Technical University of Munich, Germany

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            Source URL: qapl17.doc.ic.ac.uk

            - Date: 2017-04-20 09:16:43
              97

              C ONTRIBUTED RESEARCH ARTICLE 84 Discrete Time Markov Chains with R by Giorgio Alfredo Spedicato

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              Source URL: journal.r-project.org

              - Date: 2018-01-29 07:20:14
                98

                C ONTRIBUTED RESEARCH ARTICLE 127 ctmcd: An R Package for Estimating the Parameters of a Continuous-Time Markov

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                Source URL: journal.r-project.org

                - Date: 2018-01-29 07:20:14
                  99

                  Synthesizing Manipulation Sequences for Under-Specified Tasks using Unrolled Markov Random Fields Jaeyong Sung, Bart Selman and Ashutosh Saxena Abstract— Many tasks in human environments require performing a sequence o

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                  Source URL: pr.cs.cornell.edu

                  - Date: 2014-06-22 00:06:22
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