Least-angle regression

Known as: Least angle regression 
In statistics, least-angle regression (LARS) is an algorithm for fitting linear regression models to high-dimensional data, developed by Bradley… (More)
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Papers overview

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2015
2015
The use of performance counters (PCs) to develop per-core power proxies for multicore processors is now well established. These… (More)
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2015
2015
A forward and backward least angle regression (LAR) algorithm is proposed to construct the nonlinear autoregressive model with… (More)
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2012
2012
  • Ilya Gluhovsky
  • IEEE Transactions on Neural Networks and Learning…
  • 2012
Keerthi and Shevade (2007) proposed an efficient algorithm for constructing an approximate least angle regression least absolute… (More)
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2012
2012
In semiconductor manufacturing plants, monitoring physical properties of all wafers is fundamental in order to maintain good… (More)
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Highly Cited
2011
Highly Cited
2011
Polynomial chaos (PC) expansions are used in stochastic finite element analysis to represent the random model response by a set… (More)
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2009
2009
Least-Angle Regression and the LASSO (`1-penalized regression) offer a number of advantages over procedures such as stepwise or… (More)
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2005
2005
Let’s assume that we want to perform a simple identification task. Let’s assume that you have a set of n + 1 measures (x(1), x(2… (More)
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2004
2004
Algorithms for simultaneous shrinkage and selection in regression and classification provide attractive solutions to knotty old… (More)
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Highly Cited
2003
Highly Cited
2003
The purpose of model selection algorithms such as All Subsets, Forward Selection and Backward Elimination is to choose a linear… (More)
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2003
2003
Algorithms for simultaneous shrinkage and selection in regression and classifi cation provide attractive solutions to knotty old… (More)
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