Gibbs

Results: 1282



#Item
21

Scalable Anonymous Group Communication in the Anytrust Model David Isaac Wolinsky, Henry Corrigan-Gibbs, and Bryan Ford Yale University {david.wolinsky, henry.corrigan-gibbs, bryan.ford}@yale.edu Aaron Johnson

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Source URL: www.nrl.navy.mil

- Date: 2013-04-25 12:21:06
    22

    RICE UNIVERSITY The Barbara and David Gibbs RECREATION CENTER MEMBERSHIP CANCELLATION FORM Date:___________________ Name:___________________________________E#:____________________________

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    Source URL: recreation.rice.edu

    - Date: 2017-07-11 10:56:56
      23

      Dissent: Accountable Anonymous Group Messaging Erratum Henry Corrigan-Gibbs Bryan Ford

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      Source URL: dedis.cs.yale.edu

      - Date: 2010-11-30 00:22:08
        24

        MEMBERSHIP MANUAL Barbara & David Gibbs Recreation &

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        Source URL: recreation.rice.edu

        - Date: 2018-01-08 17:37:37
          25

          Dissent in Numbers: Making Strong Anonymity Scale David Isaac Wolinsky, Henry Corrigan-Gibbs, and Bryan Ford Yale University Aaron Johnson U.S. Naval Research Laboratory

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          Source URL: www.nrl.navy.mil

          - Date: 2013-04-25 12:14:47
            26

            Gibbs, J. G., 2016: A skill assessment of techniques for real-time diagnosis and short-term prediction of tornado intensity using the WSR-88D. J. Operational Meteor., 4 (13), 170181, doi: http://dx.doi.orgnw

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            Source URL: nwafiles.nwas.org

            - Date: 2016-09-26 17:51:51
              27

              Dissent: Accountable Anonymous Group Messaging Erratum 2 Andrew Wiedemann, Doug von Kohorn, Henry Corrigan-Gibbs, Bryan Ford Introduction Dissent [2] is a protocol for sender-anonymous group-wise broadcast, which builds

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              Source URL: dedis.cs.yale.edu

              - Date: 2011-05-05 14:52:11
                28

                Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields Julien Stoehr Institut de Math´ematiques et de Mod´elisation de Montpellier,

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                Source URL: jmlr.org

                - Date: 2016-05-01 21:17:12
                  29

                  ConsciousConsumer_logo_d01

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                  Source URL: www.gibbs-rbb.com

                  - Date: 2014-10-15 08:55:43
                    30

                    Chapter 2 Graphical models and approximate posterior inference In this chapter we review latent variable graphical models and exponential families. We discuss variational methods and Gibbs sampling for approximate poster

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                    Source URL: www.cs.princeton.edu

                    - Date: 2006-03-11 08:59:30
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