Randomness

Results: 1720



#Item
31

Chance laws and quantum randomness Carl Hoefer ICREA-U. Barcelona STIAS, October 26, 2015

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Source URL: users.cms.caltech.edu

- Date: 2015-10-27 01:04:12
    32

    CS271 Randomness & Computation Fall 2011 Lecture 7: September 15 Lecturer: Alistair Sinclair

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    Source URL: people.eecs.berkeley.edu

    - Date: 2011-09-15 18:44:57
      33

      USING ALMOST-EVERYWHERE THEOREMS FROM ANALYSIS TO STUDY RANDOMNESS ´ NIES, AND JING ZHANG KENSHI MIYABE, ANDRE Abstract. We study algorithmic randomness notions via effective versions of almost-everywhere theorems from

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      Source URL: dl.dropboxusercontent.com

        34

        Speaker: Jason Rute Title: Randomness, Brownian Motion, Riesz Capacity, and Complexity Abstract: Algorithmic randomness is a topic in computability theory which investigates which paths in a stochastic process behave ran

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        Source URL: people.clas.ufl.edu

        - Date: 2015-02-13 19:35:58
          35

          Balancing Locality and Randomness in DHTs Shuheng Zhou, Gregory R. Ganger, Peter Steenkiste November 2003 CMU-CS

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          Source URL: www.pdl.cmu.edu

          - Date: 2003-11-17 10:34:26
            36

            Transformations which preserve computable randomness and other applications of computable conditional probability Jason Rute University of Hawaii–Manoa

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            Source URL: www.personal.psu.edu

            - Date: 2013-09-10 19:35:25
              37

              LNCSMultinomial Randomness Models for Retrieval with Document Fields

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              Source URL: terrierteam.dcs.gla.ac.uk

              - Date: 2010-03-05 12:05:36
                38

                PRNG: Pwning Random Number Generators George Argyros∗ Aggelos Kiayias∗† Randomness is a critical security feature of modern web applications. From session identifiers

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                Source URL: media.blackhat.com

                - Date: 2012-08-02 14:30:16
                  39

                  Algorithms for randomness in the behavioral sciences: A tutorial

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                  Source URL: crr.ugent.be

                  - Date: 2011-02-27 04:37:14
                    40

                    Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification Quannan Li1,2 , Cong Yao2,3 , Liwei Wang2,4 , Zhuowen Tu1,2 1 Lab of Neuro Imaging, University of California, Los Angeles

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                    Source URL: pages.ucsd.edu

                    - Date: 2012-05-22 04:04:06
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