Information Weighting Under Least Squares Learning

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 ◽

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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Discriminative Least Squares Learning for Fast Adaptive Neural Equalization

Neural Nets WIRN VIETRI-97 - Perspectives in Neural Computing ◽

10.1007/978-1-4471-1520-5_36 ◽

1998 ◽

pp. 330-335

Author(s):

R. Parisi ◽

E. D. Di Claudio ◽

G. Orlandi

Keyword(s):

Least Squares ◽

Least Squares Learning

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Online Least-Squares Learning for Monopulse Angle Tracking and Waveform Estimation

10.23919/ciss51089.2021.9652262 ◽

2021 ◽

Author(s):

Chunlei Zhao ◽

Zhiwei He ◽

Ming Fang ◽

Shoujiang Yu ◽

Yifan Guo

Keyword(s):

Least Squares ◽

Angle Tracking ◽

Least Squares Learning

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

Advances in Neural Information Processing Systems 19 ◽

10.7551/mitpress/7503.003.0115 ◽

2007 ◽

Keyword(s):

Hilbert Space ◽

Least Squares ◽

Regularized Least Squares ◽

Least Squares Learning

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A model of neurobiologically plausible least-squares learning in visual cortex

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489725 ◽

2018 ◽

Author(s):

Samya Bagchi ◽

Mark D. McDonnell

Keyword(s):

Visual Cortex ◽

Least Squares ◽

Least Squares Learning

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Least-squares learning control with guaranteed parameter convergence

2016 22nd International Conference on Automation and Computing (ICAC) ◽

10.1109/iconac.2016.7604907 ◽

2016 ◽

Cited By ~ 2

Author(s):

Yongping Pan ◽

Xiang Li ◽

Haoyong Yu

Keyword(s):

Least Squares ◽

Learning Control ◽

Least Squares Learning

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A note on least-squares learning mechanism

Journal of Economic Dynamics and Control ◽

10.1016/0165-1889(94)00828-6 ◽

1995 ◽

Vol 19 (5-7) ◽

pp. 1293-1296 ◽

Cited By ~ 1

Author(s):

M.C. Chang ◽

C.Y.Cyrus Chu ◽

Kenneth S. Lin

Keyword(s):

Least Squares ◽

Learning Mechanism ◽

Least Squares Learning

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Non-destructive testing of layered structures using generalised radial basis function networks trained by the orthogonal least squares learning algorithm

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/03321649810203314 ◽

1998 ◽

Vol 17 (3) ◽

pp. 382-388

Author(s):

I.T. Rekanos ◽

T.V. Yioultsis ◽

T.D. Tsiboukis

Keyword(s):

Radial Basis Function ◽

Least Squares ◽

Basis Function ◽

Learning Algorithm ◽

Radial Basis Function Networks ◽

Non Destructive Testing ◽

Destructive Testing ◽

Orthogonal Least Squares ◽

Non Destructive ◽

Least Squares Learning

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Corrigendum to “Least squares learning and the US treasury bill rate” [Econ. Syst. 38 (2014) 194–204]

Economic Systems ◽

10.1016/j.ecosys.2015.04.001 ◽

2015 ◽

Vol 39 (3) ◽

pp. 552

Author(s):

Matthew L. Higgins ◽

Sagarika Mishra ◽

Sandip Dhole

Keyword(s):

Least Squares ◽

Treasury Bill ◽

The Us ◽

Least Squares Learning

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