Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space

2020 ◽

Author(s):

Alireza Danaee ◽

Rodrigo C. de Lamare ◽

Vitor H. Nascimento

Keyword(s):

Least Squares ◽

Energy Efficient ◽

Recursive Least Squares ◽

Least Squares Learning

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Efficient architectures to recover the regularized least squares solution

IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing ◽

10.1109/82.769793 ◽

1999 ◽

Vol 46 (6) ◽

pp. 828-831 ◽

Cited By ~ 5

Author(s):

R. Sundaram

Keyword(s):

Least Squares ◽

Regularized Least Squares ◽

Least Squares Solution

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Comments on "Principal component extraction using recursive least squares learning"

IEEE Transactions on Neural Networks ◽

10.1109/72.508950 ◽

1996 ◽

Vol 7 (4) ◽

pp. 1052 ◽

Cited By ~ 1

Author(s):

Yongfeng Miao

Keyword(s):

Least Squares ◽

Principal Component ◽

Recursive Least Squares ◽

Component Extraction ◽

Least Squares Learning

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Feature selection for regularized least-squares: New computational short-cuts and fast algorithmic implementations

2010 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2010.5589210 ◽

2010 ◽

Cited By ~ 2

Author(s):

Tapio Pahikkala ◽

Antti Airola ◽

Tapio Salakoski

Keyword(s):

Feature Selection ◽

Least Squares ◽

Regularized Least Squares ◽

Selection For

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Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2020.113620 ◽

2021 ◽

Vol 376 ◽

pp. 113620 ◽

Cited By ~ 1

Author(s):

Alexandre Cortiella ◽

Kwang-Chun Park ◽

Alireza Doostan

Keyword(s):

Dynamical Systems ◽

Least Squares ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical ◽

Regularized Least Squares

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A Fast Active Set Block Coordinate Descent Algorithm for $\ell_1$-Regularized Least Squares

SIAM Journal on Optimization ◽

10.1137/141000737 ◽

2016 ◽

Vol 26 (1) ◽

pp. 781-809 ◽

Cited By ~ 11

Author(s):

Marianna De Santis ◽

Stefano Lucidi ◽

Francesco Rinaldi

Keyword(s):

Least Squares ◽

Coordinate Descent ◽

Block Coordinate Descent ◽

Active Set ◽

Descent Algorithm ◽

Regularized Least Squares ◽

Coordinate Descent Algorithm

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DOA Estimation with a Rank-deficient Covariance matrix: A Regularized Least-squares approach

2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium) ◽

10.23919/usnc/ursi49741.2020.9321628 ◽

2020 ◽

Author(s):

Hussain Ali ◽

Tarig Ballal ◽

Tareq Y. Al-Naffouri ◽

Mohammad S. Sharawi

Keyword(s):

Least Squares ◽

Covariance Matrix ◽

Doa Estimation ◽

Regularized Least Squares ◽

Least Squares Approach

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RPC Estimation via $\ell_1$-Norm-Regularized Least Squares (L1LS)

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2015.2401602 ◽

2015 ◽

Vol 53 (8) ◽

pp. 4554-4567 ◽

Cited By ~ 23

Author(s):

Tengfei Long ◽

Weili Jiao ◽

Guojin He

Keyword(s):

Least Squares ◽

Regularized Least Squares

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Sparse channel estimation of MIMO-OFDM systems with unconstrained smoothed l0-norm-regularized least squares compressed sensing

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/1687-1499-2013-282 ◽

2013 ◽

Vol 2013 (1) ◽

Cited By ~ 10

Author(s):

Xinrong Ye ◽

Wei-Ping Zhu ◽

Aiqing Zhang ◽

Jun Yan

Keyword(s):

Channel Estimation ◽

Compressed Sensing ◽

Least Squares ◽

Ofdm Systems ◽

Regularized Least Squares ◽

Sparse Channel Estimation ◽

Mimo Ofdm ◽

Sparse Channel

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Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.246736 ◽

2006 ◽

Cited By ~ 1

Author(s):

Jayadeva ◽

R. Khemchandani ◽

S. Chandra

Keyword(s):

Time Series ◽

Least Squares ◽

Support Vector Regression ◽

Time Series Forecasting ◽

Support Vector ◽

Regularized Least Squares

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Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space

Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals

Efficient architectures to recover the regularized least squares solution

Comments on "Principal component extraction using recursive least squares learning"

Feature selection for regularized least-squares: New computational short-cuts and fast algorithmic implementations

Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares

A Fast Active Set Block Coordinate Descent Algorithm for $\ell_1$-Regularized Least Squares

DOA Estimation with a Rank-deficient Covariance matrix: A Regularized Least-squares approach

RPC Estimation via $\ell_1$-Norm-Regularized Least Squares (L1LS)

Sparse channel estimation of MIMO-OFDM systems with unconstrained smoothed l0-norm-regularized least squares compressed sensing

Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

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