Smoothing

Results: 647



#Item
21Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing Joyce Jiyoung Whang∗ , Piyush Rai† , and Inderjit S. Dhillon∗ ∗ Department of Computer Science The University of Tex

Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing Joyce Jiyoung Whang∗ , Piyush Rai† , and Inderjit S. Dhillon∗ ∗ Department of Computer Science The University of Tex

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Source URL: people.duke.edu

- Date: 2013-11-04 18:51:41
    22Expectation Maximization Based Parameter Estimation by Sigma-Point and Particle Smoothing Juho Kokkala Arno Solin

    Expectation Maximization Based Parameter Estimation by Sigma-Point and Particle Smoothing Juho Kokkala Arno Solin

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    Source URL: becs.aalto.fi

    - Date: 2014-06-09 03:37:47
      23Smoothing  Smoothing Smoothing

      Smoothing Smoothing Smoothing

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      Source URL: cl.indiana.edu

      - Date: 2015-09-28 16:06:25
        24Weierstrass Institute for Applied Analysis and Stochastics  J. Polzehl, K. Tabelow Structural adaptive smoothing methods for high resolution fMRI

        Weierstrass Institute for Applied Analysis and Stochastics J. Polzehl, K. Tabelow Structural adaptive smoothing methods for high resolution fMRI

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        Source URL: www.wias-berlin.de

        - Date: 2009-09-09 04:00:40
          25BEAUTY TREATMENTS - PRICE LIST FACIAL TREATMENTS Grand Sal Ritual smoothing – moisturizing treatment  Brightening Treatment with F-Peel 20%

          BEAUTY TREATMENTS - PRICE LIST FACIAL TREATMENTS Grand Sal Ritual smoothing – moisturizing treatment Brightening Treatment with F-Peel 20%

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          Source URL: www.grandsal.com

          - Date: 2016-04-18 06:15:32
            26Hypothesis Testing in Smoothing Spline Models Anna Liu and Yuedong Wang∗ October 10, 2002 Abstract This article provides a unified and comparative review of some existing test methods for the hypothesis of a parametric

            Hypothesis Testing in Smoothing Spline Models Anna Liu and Yuedong Wang∗ October 10, 2002 Abstract This article provides a unified and comparative review of some existing test methods for the hypothesis of a parametric

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            Source URL: www.pstat.ucsb.edu

            - Date: 2002-10-20 23:06:33
              27N-grams  Motivation Simple n-grams Smoothing Backoff

              N-grams Motivation Simple n-grams Smoothing Backoff

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              Source URL: cl.indiana.edu

              - Date: 2016-02-15 11:35:54
                28LNCSClassification of Alzheimer’s Disease Using a Self-Smoothing Operator

                LNCSClassification of Alzheimer’s Disease Using a Self-Smoothing Operator

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                Source URL: pages.ucsd.edu

                - Date: 2013-02-23 14:37:20
                  29Smoothing Spline Semi-parametric Nonlinear Regression Models Yuedong Wang and Chunlei Ke∗ June 23, 2008 Abstract We consider the problem of modeling the mean function in regression. Often there is enough

                  Smoothing Spline Semi-parametric Nonlinear Regression Models Yuedong Wang and Chunlei Ke∗ June 23, 2008 Abstract We consider the problem of modeling the mean function in regression. Often there is enough

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                  Source URL: www.pstat.ucsb.edu

                  - Date: 2008-08-16 14:25:35
                    30Smoothing Spline Estimation of Variance Functions Anna LIU, Tiejun TONG and Yuedong WANG ∗  January 11, 2006

                    Smoothing Spline Estimation of Variance Functions Anna LIU, Tiejun TONG and Yuedong WANG ∗ January 11, 2006

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                    Source URL: www.pstat.ucsb.edu

                    - Date: 2006-01-11 18:45:33