Algorithmic information theory

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1V. G. VOVK  ON A CRITERION OF RANDOMNESS (Communicated by Academician A. N. Kolmogorov, This work belongs to algorithmic information theory (seeTheorem 1 shows that if some sequence is random with resp

V. G. VOVK ON A CRITERION OF RANDOMNESS (Communicated by Academician A. N. Kolmogorov, This work belongs to algorithmic information theory (seeTheorem 1 shows that if some sequence is random with resp

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Source URL: www.vovk.net

Language: English - Date: 2009-01-29 05:02:58
    2Causal Inference by Direction of Information Jilles Vreeken◦ Abstract We focus on data-driven causal inference. In particular, we propose a new principle for causal inference based on algorithmic information theory, i.

    Causal Inference by Direction of Information Jilles Vreeken◦ Abstract We focus on data-driven causal inference. In particular, we propose a new principle for causal inference based on algorithmic information theory, i.

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    Source URL: eda.mmci.uni-saarland.de

    - Date: 2015-04-11 16:45:12
      3Microsoft Word - New Mechanisms Information Platform E-mail Newsletter Vol.55

      Microsoft Word - New Mechanisms Information Platform E-mail Newsletter Vol.55

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      Source URL: www.mmechanisms.org

      Language: English - Date: 2015-03-31 23:25:00
      4Powerpoint-presentation Information and Computing Sciences

      Powerpoint-presentation Information and Computing Sciences

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      Source URL: usefulpatterns.org

      Language: English - Date: 2015-04-25 08:23:03
      5Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton Scott Aaronson∗ Sean M. Carroll†

      Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton Scott Aaronson∗ Sean M. Carroll†

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      Source URL: www.scottaaronson.com

      Language: English - Date: 2014-05-27 14:31:46
      6Algorithmic information, plane Kakeya sets, and conditional dimension Jack H. Lutz∗ Neil Lutz†

      Algorithmic information, plane Kakeya sets, and conditional dimension Jack H. Lutz∗ Neil Lutz†

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      Source URL: paul.rutgers.edu

      Language: English - Date: 2016-02-16 15:07:26
      7Strategyproof Computing: Systems Infrastructures for Self-Interested Parties Chaki Ng, David C. Parkes, and Margo Seltzer Division of Engineering and Applied Sciences Harvard University Cambridge, MA 02138

      Strategyproof Computing: Systems Infrastructures for Self-Interested Parties Chaki Ng, David C. Parkes, and Margo Seltzer Division of Engineering and Applied Sciences Harvard University Cambridge, MA 02138

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      Source URL: netecon.seas.harvard.edu

      Language: English - Date: 2009-11-30 14:32:02
      82 Complexity in the Universe Charles H. Bennett IBM Research Division, T . J. Watson Research Center Yorktown Heights, NYUSA.

      2 Complexity in the Universe Charles H. Bennett IBM Research Division, T . J. Watson Research Center Yorktown Heights, NYUSA.

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      Source URL: cqi.inf.usi.ch

      Language: English - Date: 2014-02-18 12:20:16
      9IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 10, OCTOBERGreed is Good: Algorithmic Results for Sparse Approximation

      IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 10, OCTOBERGreed is Good: Algorithmic Results for Sparse Approximation

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      Source URL: users.cms.caltech.edu

      Language: English - Date: 2007-09-11 17:01:55
      10The Computational Worldview and the Sciences: a Report on Two Workshops Sanjeev Arora∗ Avrim Blum† Leonard J. Schulman‡ Alistair Sinclair§

      The Computational Worldview and the Sciences: a Report on Two Workshops Sanjeev Arora∗ Avrim Blum† Leonard J. Schulman‡ Alistair Sinclair§

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      Source URL: users.cms.caltech.edu

      Language: English - Date: 2007-10-12 19:44:00