Least squares

Results: 2529



#Item
221

Multisource Least-squares Extended Reverse-time Migration with Preconditioning Guided Gradient Method Yujin Liu∗† , William W. Symes† and Zhenchun Li∗ , ∗ China University of Petroleum (Huadong),† Rice Univer

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Source URL: www.trip.caam.rice.edu

Language: English - Date: 2013-04-16 07:26:02
    222

    Universal Switching Linear Least Squares Prediction Suleyman S. Kozat Andrew C. Singer IBM TJ Watson Research Center

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    Source URL: ita.ucsd.edu

    Language: English - Date: 2006-01-23 22:35:57
      223Statistics / Regression analysis / Mathematical optimization / Estimation theory / Mathematics / Mathematical analysis / Mathematical modeling / Operations research / Linear regression / Linear algebra / Least squares / AMPL

      ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook

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      Source URL: intelligent-optimization.org

      Language: English - Date: 2015-10-06 09:20:21
      224Statistics / Robust statistics / Machine learning / Statistical theory / Regression analysis / Estimation theory / Sparse dictionary learning / Outlier / Random sample consensus / Iteratively reweighted least squares / K-SVD / Sparse approximation

      Online Robust Dictionary Learning Cewu Lu Jianping Shi Jiaya Jia The Chinese University of Hong Kong {cwlu,jpshi,leojia}@cse.cuhk.edu.hk

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      Source URL: www.cse.cuhk.edu.hk

      Language: English - Date: 2013-04-16 04:36:34
      225

      Putnam Problem of the Week October 2, 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 can be packed in the rectangle (without inter

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      Source URL: faculty.sfasu.edu

      - Date: 2015-09-28 15:54:37
        226

        Political Science 150B/350B Winter 2007 Midterm Examination - Answer Guide and Grading Notes Question 1: To show that the least squares estimator is BLUE, we require the assumption E(e|X) = 0. (a): (4 points) Explain wha

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        Source URL: jackman.stanford.edu

        Language: English - Date: 2010-12-13 00:41:28
          227

          Conjugate gradient acceleration of iteratively re-weighted least squares methods Massimo Fornasier∗, Steffen Peter†, Holger Rauhut‡, Stephan Worm§ September 14, 2015 Abstract

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          Source URL: www-m15.ma.tum.de

          Language: English - Date: 2015-09-15 01:25:19
            228

            semPLS: Structural Equation Modeling Using Partial Least Squares Armin Monecke Friedrich Leisch

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            Source URL: cran.r-project.org

            Language: English - Date: 2015-02-19 19:23:45
              229Statistics / Probability / Linear filters / Mathematical analysis / Control theory / Robot control / Estimation theory / Markov models / Kalman filter / Regression analysis / Least squares / Matrix

              An efficient algorithm for real-time estimation and prediction of dynamic OD tables M. Bierlaire and F. Crittin February, 2002 Abstract The problem of estimating and predicting Origin-Destination (OD) tables is known to

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              Source URL: www.strc.ch

              Language: English - Date: 2009-01-19 10:06:45
              230Physics / Chemistry / Continuum mechanics / Fluid mechanics / Fluid dynamics / Gases / Thermodynamic properties / Mathematical optimization / Critical point / Least squares / Speed of sound / Equation of state

              arXiv:1311.0534v1 [cs.CE] 3 NovAccurate curve fits of IAPWS data for high-pressure, high-temperature single-phase liquid water based on the stiffened gas equation of state

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              Source URL: arxiv.org

              Language: English - Date: 2013-11-04 21:56:55
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