Statistical algorithms

Results: 271



#Item
61MIRI  MACH IN E INT ELLIGENCE R ESEARCH INS TITU TE  A Comparison of Decision Algorithms

MIRI MACH IN E INT ELLIGENCE R ESEARCH INS TITU TE A Comparison of Decision Algorithms

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Source URL: intelligence.org

Language: English - Date: 2013-04-29 07:41:11
62Asymptotic Variance and Convergence Rates of Nearly-Periodic MCMC Algorithms by Jeffrey S. Rosenthal* [Journal of the American Statistical Association 98, 169–177, Abstract. We consider nearly-periodic Markov ch

Asymptotic Variance and Convergence Rates of Nearly-Periodic MCMC Algorithms by Jeffrey S. Rosenthal* [Journal of the American Statistical Association 98, 169–177, Abstract. We consider nearly-periodic Markov ch

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Source URL: probability.ca

Language: English - Date: 2006-10-04 21:15:52
    63Some Results on the Ergodicity of Adaptive MCMC Algorithms Omar Khalil Supervisor: Jeffrey Rosenthal September 2, 2011

    Some Results on the Ergodicity of Adaptive MCMC Algorithms Omar Khalil Supervisor: Jeffrey Rosenthal September 2, 2011

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    Source URL: probability.ca

    Language: English - Date: 2011-09-03 10:10:47
    64Nebel et al. Algorithms for Molecular Biology 2011, 6:24 http://www.almob.org/contentRESEARCH  Open Access

    Nebel et al. Algorithms for Molecular Biology 2011, 6:24 http://www.almob.org/contentRESEARCH Open Access

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    Source URL: www.almob.org

    Language: English
    65Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany

    Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany

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    Source URL: image.diku.dk

    Language: English - Date: 2011-08-26 07:00:39
    66Supplementary Data 0.1 Supplementary tables for 10-fold cross-validation  Supplementary Tables 1–4 give results averaged over 10 trials of 10-fold crossvalidation for each of the 4 benchmark data sets. Standard deviati

    Supplementary Data 0.1 Supplementary tables for 10-fold cross-validation Supplementary Tables 1–4 give results averaged over 10 trials of 10-fold crossvalidation for each of the 4 benchmark data sets. Standard deviati

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    Source URL: cbio.ensmp.fr

    Language: English - Date: 2009-06-12 06:33:48
    67Submitted to the Annals of Statistics  ON THE EFFICIENCY OF PSEUDO-MARGINAL RANDOM WALK METROPOLIS ALGORITHMS By Chris Sherlock, Alexandre H. Thiery, Gareth O. Roberts, and Jeffrey S. Rosenthal

    Submitted to the Annals of Statistics ON THE EFFICIENCY OF PSEUDO-MARGINAL RANDOM WALK METROPOLIS ALGORITHMS By Chris Sherlock, Alexandre H. Thiery, Gareth O. Roberts, and Jeffrey S. Rosenthal

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    Source URL: probability.ca

    Language: English - Date: 2014-10-02 19:03:26
    68Coverage Optimized Active Learning for k-NN Classifiers

    Coverage Optimized Active Learning for k-NN Classifiers

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    Source URL: www.merl.com

    Language: English - Date: 2012-10-23 14:04:06
    69Alternating minimal energy methods for linear systems in higher dimensions Dmitry Savostyanov When high-dimensional problems are concerned, not much algorithms can break the curse of dimensionality, and solve them effici

    Alternating minimal energy methods for linear systems in higher dimensions Dmitry Savostyanov When high-dimensional problems are concerned, not much algorithms can break the curse of dimensionality, and solve them effici

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    Source URL: www.exqm.de

    Language: English - Date: 2014-05-14 11:50:04
    70Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Department of Computer Science University of Toronto

    Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Department of Computer Science University of Toronto

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    Source URL: papers.nips.cc

    Language: English - Date: 2014-03-25 03:56:45