Stochastic Gradient Versus Recursive Least Squares Learning

SSRN Electronic Journal ◽

10.2139/ssrn.1129821 ◽

2006 ◽

Author(s):

Sergey Slobodyan ◽

Anna Bogomolova ◽

Dmitri Kolyuzhnov

Keyword(s):

Least Squares ◽

Stochastic Gradient ◽

Recursive Least Squares ◽

Least Squares Learning

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

2020 54th Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/ieeeconf51394.2020.9443394 ◽

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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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 ◽

Author(s):

Yongfeng Miao

Keyword(s):

Least Squares ◽

Principal Component ◽

Recursive Least Squares ◽

Component Extraction ◽

Least Squares Learning

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Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling

Circuits Systems and Signal Processing ◽

10.1007/s00034-016-0378-4 ◽

2016 ◽

Vol 36 (4) ◽

pp. 1735-1753 ◽

Author(s):

Ling Xu ◽

Feng Ding

Keyword(s):

Parameter Estimation ◽

Least Squares ◽

Stochastic Gradient ◽

Recursive Least Squares ◽

Estimation Methods ◽

Signal Modeling ◽

Gradient Parameter ◽

Parameter Estimation Methods

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Recursive least squares algorithm and stochastic gradient algorithm for feedback nonlinear equation-error systems

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2019.103666 ◽

2019 ◽

Vol 32 (3/4) ◽

pp. 251-257 ◽

Author(s):

Guanglei Song ◽

Ling Xu ◽

Feng Ding

Keyword(s):

Nonlinear Equation ◽

Least Squares ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Recursive Least Squares ◽

Recursive Least Squares Algorithm ◽

Stochastic Gradient Algorithm ◽

Equation Error ◽

Least Squares Algorithm

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Recursive least squares algorithm and stochastic gradient algorithm for feedback nonlinear equation-error systems

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2019.10025296 ◽

2019 ◽

Vol 32 (3/4) ◽

pp. 251

Author(s):

Feng Ding ◽

Ling Xu ◽

Guanglei Song

Keyword(s):

Nonlinear Equation ◽

Least Squares ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Recursive Least Squares ◽

Recursive Least Squares Algorithm ◽

Stochastic Gradient Algorithm ◽

Equation Error ◽

Least Squares Algorithm

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Robust recursive least squares learning algorithm for principal component analysis

IEEE Transactions on Neural Networks ◽

10.1109/72.822524 ◽

2000 ◽

Vol 11 (1) ◽

pp. 215-221 ◽

Author(s):

Shan Ouyang ◽

Zheng Bao ◽

Gui-Sheng Liao

Keyword(s):

Principal Component Analysis ◽

Least Squares ◽

Learning Algorithm ◽

Principal Component ◽

Component Analysis ◽

Recursive Least Squares ◽

Least Squares Learning

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Principal component extraction using recursive least squares learning method

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1991.170699 ◽

1991 ◽

Author(s):

S. Bannour ◽

M.R. Azimi-Sadjadi

Keyword(s):

Least Squares ◽

Principal Component ◽

Recursive Least Squares ◽

Learning Method ◽

Component Extraction ◽

Least Squares Learning

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Principal component extraction using recursive least squares learning

IEEE Transactions on Neural Networks ◽

10.1109/72.363480 ◽

1995 ◽

Vol 6 (2) ◽

pp. 457-469 ◽

Author(s):

S. Bannour ◽

M.R. Azimi-Sadjadi

Keyword(s):

Least Squares ◽

Principal Component ◽

Recursive Least Squares ◽

Component Extraction ◽

Least Squares Learning

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Recursive Least-Squares Learning with Eligibility Traces

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-642-29946-9_14 ◽

2012 ◽

pp. 115-127

Author(s):

Bruno Scherrer ◽

Matthieu Geist

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Least Squares Learning

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An adaptive approach for optimal data reduction using recursive least squares learning method

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1992.226061 ◽

1992 ◽

Author(s):

S. Bannour ◽

M.R. Azimi-Sadjadi

Keyword(s):

Least Squares ◽

Data Reduction ◽

Recursive Least Squares ◽

Learning Method ◽

Adaptive Approach ◽

Least Squares Learning

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