Least squares

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11Atmos. Meas. Tech., 11, 3263–3280, 2018 https://doi.orgamt © Author(sThis work is distributed under the Creative Commons Attribution 4.0 License. A weighted least squares approach to ret

Atmos. Meas. Tech., 11, 3263–3280, 2018 https://doi.orgamt © Author(sThis work is distributed under the Creative Commons Attribution 4.0 License. A weighted least squares approach to ret

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Source URL: www.atmos-meas-tech.net

Language: English - Date: 2018-06-07 06:39:50
    12Least-squares migration using complex wavelets Mark Miller* and Nick Kingsbury, Cambridge University; Richard Hobbs, Durham University Summary The use of multi-scale decompositions has lead to advances in representation

    Least-squares migration using complex wavelets Mark Miller* and Nick Kingsbury, Cambridge University; Richard Hobbs, Durham University Summary The use of multi-scale decompositions has lead to advances in representation

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    Source URL: sigproc.eng.cam.ac.uk

    Language: English - Date: 2013-08-05 16:15:02
      13Journal of Machine Learning Research1445 Submitted 3/08; Revised 4/09; Published 7/09 A Least-squares Approach to Direct Importance Estimation∗ Takafumi Kanamori

      Journal of Machine Learning Research1445 Submitted 3/08; Revised 4/09; Published 7/09 A Least-squares Approach to Direct Importance Estimation∗ Takafumi Kanamori

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      Source URL: www.ms.k.u-tokyo.ac.jp

      Language: English - Date: 2011-07-11 02:47:24
        14Classroom Voting Questions: Elementary Statistics Least-Squares Regression 1. A store manager conducted an experiment in which he systematically varied the width of a display for toothpaste from 3 ft. to 6 ft. and record

        Classroom Voting Questions: Elementary Statistics Least-Squares Regression 1. A store manager conducted an experiment in which he systematically varied the width of a display for toothpaste from 3 ft. to 6 ft. and record

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        Source URL: mathquest.carroll.edu

        - Date: 2018-04-30 12:13:06
          15A Least Squares Approach to User Profiling in Pool Mix-based Anonymous Communication Systems Fernando P´erez-Gonz´alez 1,2,3 , Carmela Troncoso 4 1 Signal Theory and Communications Dept., University of Vigo

          A Least Squares Approach to User Profiling in Pool Mix-based Anonymous Communication Systems Fernando P´erez-Gonz´alez 1,2,3 , Carmela Troncoso 4 1 Signal Theory and Communications Dept., University of Vigo

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          Source URL: carmelatroncoso.com

          Language: English - Date: 2015-11-19 22:18:32
            16Scaled Least Squares Estimator for GLMs in Large-Scale Problems Murat A. Erdogdu Department of Statistics Stanford University

            Scaled Least Squares Estimator for GLMs in Large-Scale Problems Murat A. Erdogdu Department of Statistics Stanford University

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            Source URL: erdogdu.github.io

            - Date: 2018-03-25 18:17:38
              17The 57th William Lowell Putnam Mathematical Competition Saturday, December 7, 1996 A–1 Find the least number A such that for any two squares of combined area 1, a rectangle of area A exists such that the two squares ca

              The 57th William Lowell Putnam Mathematical Competition Saturday, December 7, 1996 A–1 Find the least number A such that for any two squares of combined area 1, a rectangle of area A exists such that the two squares ca

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              Source URL: kskedlaya.org

              - Date: 2014-01-16 17:22:33
                18Election indices The figures below represent the values of three indices: (i) the least squares index (LSq), which measures disproportionality between the vote distribution and the seat distribution; (ii) the effective n

                Election indices The figures below represent the values of three indices: (i) the least squares index (LSq), which measures disproportionality between the vote distribution and the seat distribution; (ii) the effective n

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                Source URL: www.tcd.ie

                - Date: 2016-12-05 10:25:23
                  19The Kernel Kalman Rule – Efficient Nonparametric Inference with Recursive Least Squares Gregor H.W. Gebhardt CLAS, TU Darmstadt Hochschulstr. 10

                  The Kernel Kalman Rule – Efficient Nonparametric Inference with Recursive Least Squares Gregor H.W. Gebhardt CLAS, TU Darmstadt Hochschulstr. 10

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                  Source URL: www.ausy.tu-darmstadt.de

                  - Date: 2016-11-29 10:34:09
                    20Microsoft Word - The Mathematical Derivation of Least Squares.doc

                    Microsoft Word - The Mathematical Derivation of Least Squares.doc

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                    Source URL: isites.harvard.edu

                    - Date: 2008-07-24 15:23:04