Gaussian

Results: 2017



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41Approximating Gaussian Processes with H2 -matrices Steffen B¨orm1 and Jochen Garcke2 1  Max Planck Institute for Mathematics in the Sciences

Approximating Gaussian Processes with H2 -matrices Steffen B¨orm1 and Jochen Garcke2 1 Max Planck Institute for Mathematics in the Sciences

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Source URL: garcke.ins.uni-bonn.de

Language: English - Date: 2007-06-29 12:59:53
    42Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models Baback Moghaddam1, Benjamin M. Marlin2, Mohammad Emtiyaz Khan2 and Kevin P. Murphy2 1. Jet Propulsion Laboratory, California Insti

    Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models Baback Moghaddam1, Benjamin M. Marlin2, Mohammad Emtiyaz Khan2 and Kevin P. Murphy2 1. Jet Propulsion Laboratory, California Insti

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    Source URL: emtiyaz.github.io

    Language: English - Date: 2018-08-03 01:10:16
      43

      Below a short summary from the 12th HWG Meeting. A) Last TB analyses - there was a talk by Jakub with his final results on the shower energy deposition -- change of fitting from Gaussian to Landau&Gaussian resulted in

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      Source URL: fcal.desy.de

      Language: English - Date: 2018-04-22 02:30:18
        44Gaussian Stochastic ProcessesGaussian Stochastic Processes • Linear systems driven by IID noise • Evolution of mean and covariance • Example: mass-spring system

        Gaussian Stochastic ProcessesGaussian Stochastic Processes • Linear systems driven by IID noise • Evolution of mean and covariance • Example: mass-spring system

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        Source URL: engr207b.stanford.edu

        Language: English - Date: 2016-01-05 19:22:00
          45Gaussian-Stick Breaking Process  Manzil Zaheer Machine Learning Department

          Gaussian-Stick Breaking Process Manzil Zaheer Machine Learning Department

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          Source URL: manzil.ml

          Language: English - Date: 2016-01-03 02:27:38
            46MAE290a midtermminutes, closed book, no electronics, one page of notes allowedpoints) Gaussian elimination. Define  −2 1  1 −2

            MAE290a midtermminutes, closed book, no electronics, one page of notes allowedpoints) Gaussian elimination. Define  −2 1  1 −2

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            Source URL: renaissance.ucsd.edu

            Language: English - Date: 2010-11-03 22:41:48
              47108  IEEE SIGNAL PROCESSING LETTERS, VOL. 13, NO. 2, FEBRUARY 2006 Nonintrusive Speech Quality Estimation Using Gaussian Mixture Models

              108 IEEE SIGNAL PROCESSING LETTERS, VOL. 13, NO. 2, FEBRUARY 2006 Nonintrusive Speech Quality Estimation Using Gaussian Mixture Models

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              Source URL: musaelab.ca

              Language: English - Date: 2015-12-14 15:19:20
                481  Erratum for sectionin Rasmussen and Williams, Gaussian Processes for Machine Learning (MIT Press, 2006) In sectionwe present a comparison of 4 methods (SR, SR, PP, BCM) on

                1 Erratum for sectionin Rasmussen and Williams, Gaussian Processes for Machine Learning (MIT Press, 2006) In sectionwe present a comparison of 4 methods (SR, SR, PP, BCM) on

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                Source URL: www.gaussianprocess.org

                Language: English - Date: 2006-05-29 10:16:28
                  49IEEE TRANSACTIONS ON IMAGE PROCESSING  Virtual View Synthesis for Free Viewpoint Video and Multiview Video Compression using Gaussian Mixture Modelling D M Motiur Rahaman, Member, IEEE and Manoranjan Paul, Senior Member,

                  IEEE TRANSACTIONS ON IMAGE PROCESSING Virtual View Synthesis for Free Viewpoint Video and Multiview Video Compression using Gaussian Mixture Modelling D M Motiur Rahaman, Member, IEEE and Manoranjan Paul, Senior Member,

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                  Source URL: csusap.csu.edu.au

                  Language: English - Date: 2017-10-29 18:45:30
                    50cc07s, CHAPTER 7 THE CENTRAL GAUSSIAN, OR NORMAL, DISTRIBUTION \My own impression    is that the mathematical results have outrun their interpretation and that some simple explanation of the force and meaning

                    cc07s, CHAPTER 7 THE CENTRAL GAUSSIAN, OR NORMAL, DISTRIBUTION \My own impression    is that the mathematical results have outrun their interpretation and that some simple explanation of the force and meaning

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                    Source URL: www-biba.inrialpes.fr

                    Language: English - Date: 2004-03-11 14:49:05