Non-linear least squares

Results: 97



#Item
412012 IEEE 12th International Conference on Data Mining  Distributed Matrix Completion Christina Teflioudi, Faraz Makari, Rainer Gemulla Max-Planck-Institut f¨ur Informatik Saarbr¨ucken, Germany

2012 IEEE 12th International Conference on Data Mining Distributed Matrix Completion Christina Teflioudi, Faraz Makari, Rainer Gemulla Max-Planck-Institut f¨ur Informatik Saarbr¨ucken, Germany

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Source URL: dws.informatik.uni-mannheim.de

Language: English - Date: 2014-09-29 11:40:16
42A Non-Parametric Approach to Infer Slopes from Short Time-Series with Seasonal Fluctuation: Application to GPS Time-Series Investigators: Brian Chung (Boston College) and Dr. Corné Kreemer (University of Nevada, Reno) I

A Non-Parametric Approach to Infer Slopes from Short Time-Series with Seasonal Fluctuation: Application to GPS Time-Series Investigators: Brian Chung (Boston College) and Dr. Corné Kreemer (University of Nevada, Reno) I

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Source URL: resess.unavco.org

Language: English - Date: 2014-09-05 15:40:15
43Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla1 Peter J. Haas2

Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent Rainer Gemulla1 Peter J. Haas2

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Source URL: dws.informatik.uni-mannheim.de

Language: English - Date: 2014-09-29 11:40:16
44Agronomy Journal: Published ahead of print 5 Apr. 2013; doi:[removed]agronj[removed]Non-linear regression models and applications in agricultural research Sotirios V Archontoulis and Fernando E Miguez*  Sotirios V Arch

Agronomy Journal: Published ahead of print 5 Apr. 2013; doi:[removed]agronj[removed]Non-linear regression models and applications in agricultural research Sotirios V Archontoulis and Fernando E Miguez* Sotirios V Arch

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Source URL: www.agronomy.org

Language: English - Date: 2014-12-10 04:13:24
45Improved Non-linear Spline Fitting for Teaching Trajectories to Mobile Robots Christoph Sprunk Boris Lau

Improved Non-linear Spline Fitting for Teaching Trajectories to Mobile Robots Christoph Sprunk Boris Lau

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Source URL: www.tapas-project.eu

Language: English - Date: 2013-06-19 07:40:37
46Neural Process Lett DOI[removed]s11063[removed]Local Dimensionality Reduction for Non-Parametric Regression Heiko Hoffmann · Stefan Schaal · Sethu Vijayakumar

Neural Process Lett DOI[removed]s11063[removed]Local Dimensionality Reduction for Non-Parametric Regression Heiko Hoffmann · Stefan Schaal · Sethu Vijayakumar

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Source URL: www-clmc.usc.edu

Language: English - Date: 2009-03-02 14:19:36
4712 Function Fitting  The goal of function fitting is to choose values for the parameters in a function to best describe a set of data. There are many possible reasons to do this. If a specific meaningful form for the fun

12 Function Fitting The goal of function fitting is to choose values for the parameters in a function to best describe a set of data. There are many possible reasons to do this. If a specific meaningful form for the fun

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Source URL: fab.cba.mit.edu

Language: English - Date: 2014-04-13 17:53:09
48Package ‘nnls’ July 2, 2014 Type Package Title The Lawson-Hanson algorithm for non-negative least squares (NNLS) Version 1.4 Author Katharine M. Mullen and Ivo H. M. van Stokkum

Package ‘nnls’ July 2, 2014 Type Package Title The Lawson-Hanson algorithm for non-negative least squares (NNLS) Version 1.4 Author Katharine M. Mullen and Ivo H. M. van Stokkum

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 15:52:16
49From Spider-Man to Hero – Archetypal Analysis in R Manuel J. A. Eugster Friedrich Leisch

From Spider-Man to Hero – Archetypal Analysis in R Manuel J. A. Eugster Friedrich Leisch

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 11:15:30
50FITTING THE SCHWARTZ-BARRETT-MARSHALL MODEL Germán Rodríguez James Trussell  Office of Population Research

FITTING THE SCHWARTZ-BARRETT-MARSHALL MODEL Germán Rodríguez James Trussell Office of Population Research

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Source URL: www.opr.princeton.edu

Language: English - Date: 2002-08-23 15:19:26