Linear function

Results: 2053



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1July 31, 2002  To appear in J. of DEDS LEAST SQUARES POLICY EVALUATION ALGORITHMS WITH LINEAR FUNCTION APPROXIMATION1

July 31, 2002 To appear in J. of DEDS LEAST SQUARES POLICY EVALUATION ALGORITHMS WITH LINEAR FUNCTION APPROXIMATION1

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Source URL: www.ifp.illinois.edu

Language: English - Date: 2006-11-13 17:37:24
    2EE365, SpringProfessor S. Lall EE365 Homework 7 1. The squared norm of a linear function. Download an updated version of the class file

    EE365, SpringProfessor S. Lall EE365 Homework 7 1. The squared norm of a linear function. Download an updated version of the class file

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    Source URL: stanford.edu

    Language: English - Date: 2014-05-26 13:58:32
      3NOISE ROBUST SPEECH RECOGNITION USING GAUSSIAN BASIS FUNCTIONS FOR NON-LINEAR LIKELIHOOD FUNCTION APPROXIMATION Chris Pal½ ¾ , Brendan Frey½ ¾ and Trausti Kristjansson ½ ¾ ½  ¾

      NOISE ROBUST SPEECH RECOGNITION USING GAUSSIAN BASIS FUNCTIONS FOR NON-LINEAR LIKELIHOOD FUNCTION APPROXIMATION Chris Pal½ ¾ , Brendan Frey½ ¾ and Trausti Kristjansson ½ ¾ ½ ¾

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      Source URL: www.professeurs.polymtl.ca

      Language: English - Date: 2009-02-23 15:10:30
        4DecemberReport LIDS-P-2573 IMPROVED TEMPORAL DIFFERENCE METHODS WITH LINEAR FUNCTION APPROXIMATION1

        DecemberReport LIDS-P-2573 IMPROVED TEMPORAL DIFFERENCE METHODS WITH LINEAR FUNCTION APPROXIMATION1

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        Source URL: www.ifp.illinois.edu

        Language: English - Date: 2006-11-13 17:35:28
          5APPLICATION NOTE  Improved Function with Double-Quenched BHQ® Probes for qPCR Signaling Mechanisms of qPCR Probes The predominant probe-type for qPCR applications is the linear

          APPLICATION NOTE Improved Function with Double-Quenched BHQ® Probes for qPCR Signaling Mechanisms of qPCR Probes The predominant probe-type for qPCR applications is the linear

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          Source URL: biosearchassets.blob.core.windows.net

          - Date: 2016-02-02 15:29:29
            6Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton,∗ Hamid Reza Maei,∗ Doina Precup,† Shalabh Bhatnagar,‡ David Silver,∗ Csaba Szepesv´ari,∗ E

            Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton,∗ Hamid Reza Maei,∗ Doina Precup,† Shalabh Bhatnagar,‡ David Silver,∗ Csaba Szepesv´ari,∗ E

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            Source URL: webdocs.cs.ualberta.ca

            - Date: 2009-05-29 17:59:38
              7OPTIMIZING A PARAMETRIC LINEAR FUNCTION OVER A NON-COMPACT REAL VARIETY Feng Guo1 Mohab Safey El Din2

              OPTIMIZING A PARAMETRIC LINEAR FUNCTION OVER A NON-COMPACT REAL VARIETY Feng Guo1 Mohab Safey El Din2

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              Source URL: www.issac-symposium.org

              - Date: 2015-07-08 07:12:38
                8GREEN’S FUNCTION FOR LAPLACIAN  The Green’s function is a tool to solve non-homogeneous linear equations. We will illustrate this idea for the Laplacian ∆. Suppose we want to find the solution u of the Poisson equa

                GREEN’S FUNCTION FOR LAPLACIAN The Green’s function is a tool to solve non-homogeneous linear equations. We will illustrate this idea for the Laplacian ∆. Suppose we want to find the solution u of the Poisson equa

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                Source URL: www.math.lsa.umich.edu

                - Date: 2015-12-18 21:20:37
                  9Time Series Lesson 9 Grant Foster  Representing Data

                  Time Series Lesson 9 Grant Foster Representing Data

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                  Source URL: teachingfuturescientists.files.wordpress.com

                  Language: English - Date: 2016-06-30 12:56:46
                  10SEPTEMBERCARTER AND ELSNER 515

                  SEPTEMBERCARTER AND ELSNER 515

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                  Source URL: myweb.fsu.edu

                  Language: English - Date: 2016-08-22 10:16:44