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Least squares learning with heterogeneous expectations
Economics Letters
◽
10.1016/s0165-1765(96)00903-2
◽
1996
◽
Vol 53
(2)
◽
pp. 197-201
◽
Cited By ~ 15
Author(s):
George W. Evans
◽
Seppo Honkapohja
Keyword(s):
Least Squares
◽
Heterogeneous Expectations
◽
Least Squares Learning
Download Full-text
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Robust Taylor Rules in an Open Economy with Heterogeneous Expectations and Least Squares Learning
SSRN Electronic Journal
◽
10.2139/ssrn.1009555
◽
2007
◽
Cited By ~ 27
Author(s):
Mikael Bask
◽
Carina Selander
Keyword(s):
Least Squares
◽
Open Economy
◽
Heterogeneous Expectations
◽
Taylor Rules
◽
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
◽
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
Download Full-text
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