Algorithmic learning theory

Results: 42



#Item
1Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta  Shayak Sen

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta Shayak Sen

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Source URL: www.andrew.cmu.edu

Language: English - Date: 2018-06-07 13:38:43
    2CS364A: Algorithmic Game Theory Lecture #20: Mixed Nash Equilibria and PPAD-Completeness∗ Tim Roughgarden† December 4, 2013 Today we continue our study of the limitations of learning dynamics and polynomial-time

    CS364A: Algorithmic Game Theory Lecture #20: Mixed Nash Equilibria and PPAD-Completeness∗ Tim Roughgarden† December 4, 2013 Today we continue our study of the limitations of learning dynamics and polynomial-time

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    Source URL: theory.stanford.edu

    - Date: 2016-08-30 19:10:08
      3CS364A: Algorithmic Game Theory Lecture #20: Mixed Nash Equilibria and PPAD-Completeness∗ Tim Roughgarden† December 4, 2013 Today we continue our study of the limitations of learning dynamics and polynomial-time

      CS364A: Algorithmic Game Theory Lecture #20: Mixed Nash Equilibria and PPAD-Completeness∗ Tim Roughgarden† December 4, 2013 Today we continue our study of the limitations of learning dynamics and polynomial-time

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      Source URL: theory.stanford.edu

      Language: English - Date: 2014-01-06 16:13:01
      4Grammatical Inference and Machine Learning Approaches to Post-Hoc LangSec Sheridan S. Curley Dr. Richard E. Harang

      Grammatical Inference and Machine Learning Approaches to Post-Hoc LangSec Sheridan S. Curley Dr. Richard E. Harang

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      Source URL: spw16.langsec.org

      Language: English - Date: 2016-06-06 10:35:50
      5Data Min Knowl Disc:169–214 DOIs10618x K RIMP: mining itemsets that compress Jilles Vreeken · Matthijs van Leeuwen · Arno Siebes

      Data Min Knowl Disc:169–214 DOIs10618x K RIMP: mining itemsets that compress Jilles Vreeken · Matthijs van Leeuwen · Arno Siebes

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

      Language: English - Date: 2011-05-19 07:17:24
      6CS168: The Modern Algorithmic Toolbox Lecture #4: Dimensionality Reduction Tim Roughgarden & Gregory Valiant April 8,

      CS168: The Modern Algorithmic Toolbox Lecture #4: Dimensionality Reduction Tim Roughgarden & Gregory Valiant April 8,

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      Source URL: theory.stanford.edu

      Language: English - Date: 2016-06-04 09:49:43
      7Microsoft Word - Pelillo.doc

      Microsoft Word - Pelillo.doc

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      Source URL: svg.dmi.unict.it

      Language: English - Date: 2012-04-18 05:31:51
      8解説:特集 高次機能の学習と創発 —脳・ロボット・人間研究における新たな展開— Simple Algorithmic Theory of Subjective Beauty, Novelty, Surprise, Interestingness, Attention,

      解説:特集 高次機能の学習と創発 —脳・ロボット・人間研究における新たな展開— Simple Algorithmic Theory of Subjective Beauty, Novelty, Surprise, Interestingness, Attention,

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      Source URL: people.idsia.ch

      Language: English - Date: 2009-04-20 08:02:05
      9Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta  Shayak Sen

      Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta Shayak Sen

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      Source URL: www.andrew.cmu.edu

      Language: English - Date: 2016-06-11 14:42:51
      10Rational Randomness: The role of sampling in an algorithmic account of preschooler’s causal learning Bonawitz, E., Gopnik, A., Denison, S., Griffiths, T. L. University of California, Berkeley; Berkeley, CA 94720

      Rational Randomness: The role of sampling in an algorithmic account of preschooler’s causal learning Bonawitz, E., Gopnik, A., Denison, S., Griffiths, T. L. University of California, Berkeley; Berkeley, CA 94720

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      Source URL: ccdlab.rutgers.edu

      Language: English