Least-squares spectral analysis

Results: 33



#Item
11STAT 538 Lecture 9 Constrained optimization algorithms c 
Marina Meil˘a

STAT 538 Lecture 9 Constrained optimization algorithms c Marina Meil˘a

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-03-03 16:50:14
12BDDC Preconditioning for High-Order Galerkin Least Squares Methods using Inexact Solvers Masayuki Yano∗,a , David L. Darmofala a Aerospace  Computational Design Laboratory, Massachusetts Institute of Technology, Buildi

BDDC Preconditioning for High-Order Galerkin Least Squares Methods using Inexact Solvers Masayuki Yano∗,a , David L. Darmofala a Aerospace Computational Design Laboratory, Massachusetts Institute of Technology, Buildi

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Source URL: raphael.mit.edu

Language: English - Date: 2009-10-10 01:29:36
13SuperWASP observations of long timescale photometric variations in cataclysmic variables

SuperWASP observations of long timescale photometric variations in cataclysmic variables

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Source URL: wrap.warwick.ac.uk

Language: English - Date: 2010-11-19 07:49:32
14Research Track Paper  Feature Selection Methods for Text Classification [Extended Abstract] Anirban Dasgupta

Research Track Paper Feature Selection Methods for Text Classification [Extended Abstract] Anirban Dasgupta

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Source URL: cs-www.cs.yale.edu

Language: English - Date: 2007-10-09 01:16:38
15Iteratively Reweighted Least-Squares solutions for non-linear reconstruction Matthieu Guerquin-Kern April 5, 2009 As a main reference: positive form of the half-quadratic minimization in Optimisation course of Mila Nikol

Iteratively Reweighted Least-Squares solutions for non-linear reconstruction Matthieu Guerquin-Kern April 5, 2009 As a main reference: positive form of the half-quadratic minimization in Optimisation course of Mila Nikol

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Source URL: bigwww.epfl.ch

Language: English - Date: 2009-04-05 11:58:34
16Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs? Elmar Mertens Working Paper 08.01

Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs? Elmar Mertens Working Paper 08.01

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Source URL: www.szgerzensee.ch

Language: English - Date: 2009-01-12 12:46:10
17EPN TIME SERIES ANALYSIS REPORT PREPARED TO THE EPN LAC WORKSHOP FRANKFURT, 22-23 OCTOBER 2008

EPN TIME SERIES ANALYSIS REPORT PREPARED TO THE EPN LAC WORKSHOP FRANKFURT, 22-23 OCTOBER 2008

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Source URL: epncb.oma.be

Language: English - Date: 2012-05-08 11:23:35
18Statistical Tests of Noise and Harmony in Dark Matter Modulation Signals Spencer Chang,1, ∗ Josef Pradler,2, † and Itay Yavin2, 3, ‡ 1 Department of Physics, University of Oregon, Eugene, OR[removed]Perimeter Institu

Statistical Tests of Noise and Harmony in Dark Matter Modulation Signals Spencer Chang,1, ∗ Josef Pradler,2, † and Itay Yavin2, 3, ‡ 1 Department of Physics, University of Oregon, Eugene, OR[removed]Perimeter Institu

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Source URL: arXiv.org

Language: English - Date: 2012-02-21 20:46:26
19Idescat. SORT. New insights into evaluation of regression models through a decomposition of the prediction errors: application to near-infrared spectral data. Volume 37 (1)

Idescat. SORT. New insights into evaluation of regression models through a decomposition of the prediction errors: application to near-infrared spectral data. Volume 37 (1)

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Source URL: www.idescat.cat

Language: English - Date: 2013-06-12 05:48:47
20Astronomy & Astrophysics A&A 533, A61[removed]DOI: [removed][removed]

Astronomy & Astrophysics A&A 533, A61[removed]DOI: [removed][removed]

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Source URL: www.aanda.org

Language: English