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Iteratively reweighted least squares
Known as:
IRLS
, Iterative weighted least squares
, Iteratively weighted least squares
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The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems with objective functions of the form: by an…
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Related topics
Related topics
16 relations
Compressed sensing
Generalized least squares
Generalized linear model
Geometric median
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Broader (1)
Least squares
Papers overview
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2019
2019
Improved Convergence for $\ell_\infty$ and $\ell_1$ Regression via Iteratively Reweighted Least Squares
Alina Ene
,
Adrian Vladu
International Conference on Machine Learning
2019
Corpus ID: 62841409
The iteratively reweighted least squares method (IRLS) is a popular technique used in practice for solving regression problems…
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2016
2016
A note on privacy preserving iteratively reweighted least squares
Mijung Park
,
M. Welling
arXiv.org
2016
Corpus ID: 10764136
Iteratively reweighted least squares (IRLS) is a widely-used method in machine learning to estimate the parameters in the…
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2011
2011
Generalized Maximum Entropy Estimators: Applications to the Portland Cement Dataset
F. Akdeniz
,
Altan Cabuk
,
Hüseyin Güler
2011
Corpus ID: 15184029
Consider the linear regression model y= X+ u in the usual notation. In many applications the design matrix X is frequently…
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2004
2004
Iterative learning control based direct instantaneous torque control of switched reluctance motors
S.
,
Student Member
,
Senior Member
,
Senior Membec
IEEE 35th Annual Power Electronics Specialists…
2004
Corpus ID: 23356964
In this paper, iterative learning control (ILC) based direct instantaneous torque controller (DITC) for SRM is proposed. Direct…
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2003
2003
Multiple-view structure and motion from line correspondences
A. Bartoli
,
P. Sturm
Proceedings Ninth IEEE International Conference…
2003
Corpus ID: 11407281
We address the problem of camera motion and structure reconstruction from line correspondences across multiple views, from…
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2003
2003
Iteratively re-weighted least-squares and PEF-based interpolation
W. Curry
2003
Corpus ID: 1944373
Interpolation methods frequently deal poorly with noise. Least-squares based interpolation methods can deal well with noise, as…
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2002
2002
Adaptive SVC for nonlinear channel equalization
F. Pérez-Cruz
,
Antonio Artés-Rodríguez
European Signal Processing Conference
2002
Corpus ID: 2742264
We propose a new scheme for adapting support vector classifiers (SVC) in non-stationary environments. This adaptive SVC (ASVC…
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1999
1999
Mapping quantitative trait loci with dominant markers in four-way crosses
C. Xie
,
S. Xu
Theoretical and Applied Genetics
1999
Corpus ID: 38373363
Abstract A common problem in mapping quantitative trait loci (QTLs) is that marker data are often incomplete. This includes…
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1996
1996
Percentile curves via iteratively reweighted least squares
P. H. Merz
1996
Corpus ID: 124170875
The p-th percentile curve for a set of data is a curve below which p-percent of the data lie. Percentile curves are useful for…
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Review
1982
Review
1982
Iteratively Reweighted Least Squares - Encyclopedia Entry.
D. Rubin
1982
Corpus ID: 118162095
Abstract : Iteratively Reweighted least Squares (IRLS) is a computationally attractive method for providing estimated regression…
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