Orthogonal-Least-Squares Forward Selection for Parsimonious Modelling from Data

Engineering ◽

10.4236/eng.2009.12008 ◽

2009 ◽

Vol 01 (02) ◽

pp. 55-74 ◽

Author(s):

Sheng CHEN

Keyword(s):

Least Squares ◽

Forward Selection ◽

Orthogonal Least Squares ◽

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Orthogonal least squares based center selection for fault-tolerant RBF networks

Neurocomputing ◽

10.1016/j.neucom.2019.02.039 ◽

2019 ◽

Vol 339 ◽

pp. 217-231 ◽

Author(s):

Jing Dong ◽

Yuxin Zhao ◽

Chang Liu ◽

Zi-Fa Han ◽

Chi-Sing Leung

Keyword(s):

Least Squares ◽

Fault Tolerant ◽

Rbf Networks ◽

Orthogonal Least Squares ◽

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Speeding Up Greedy Forward Selection for Regularized Least-Squares

2010 Ninth International Conference on Machine Learning and Applications ◽

10.1109/icmla.2010.55 ◽

2010 ◽

Author(s):

Tapio Pahikkala ◽

Antti Airola ◽

Tapio Salakoski

Keyword(s):

Least Squares ◽

Forward Selection ◽

Regularized Least Squares ◽

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Recursive orthogonal least squares learning with automatic weight selection for Gaussian neural networks

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) ◽

10.1109/ijcnn.1999.832590 ◽

2003 ◽

Author(s):

M.H. Fun ◽

M.T. Hagan

Keyword(s):

Neural Networks ◽

Least Squares ◽

Orthogonal Least Squares ◽

Selection For ◽

Least Squares Learning

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Orthogonal Least Squares Based Fast Feature Selection for Linear Classification

Pattern Recognition ◽

10.1016/j.patcog.2021.108419 ◽

2021 ◽

pp. 108419

Author(s):

Sikai Zhang ◽

Zi-Qiang Lang

Keyword(s):

Feature Selection ◽

Least Squares ◽

Linear Classification ◽

Orthogonal Least Squares ◽

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Large Sample and Jackknife Procedures for Small Sample Orthogonal Least Squares Inference

Communications in Statistics - Simulation and Computation ◽

10.1080/03610917508548348 ◽

1975 ◽

Vol 4 (2) ◽

pp. 193-202

Author(s):

Peter Anderson

Keyword(s):

Least Squares ◽

Small Sample ◽

Large Sample ◽

Orthogonal Least Squares

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Orthogonal Least Squares Detector for Generalized Spatial Modulation

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2021.3065383 ◽

2021 ◽

pp. 1-1

Author(s):

Jinming Wen ◽

Jie Li ◽

Huanmin Ge ◽

Zhengchun Zhou ◽

Weiqi Luo

Keyword(s):

Least Squares ◽

Spatial Modulation ◽

Orthogonal Least Squares

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Optimal Restricted Isometry Condition of Normalized Sampling Matrices for Exact Sparse Recovery with Orthogonal Least Squares

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2021.3060010 ◽

2021 ◽

pp. 1-1

Author(s):

Junhan Kim ◽

Jian Wang ◽

Byonghyo Shim

Keyword(s):

Least Squares ◽

Sparse Recovery ◽

Orthogonal Least Squares

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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 ◽

Author(s):

Tapio Pahikkala ◽

Antti Airola ◽

Tapio Salakoski

Keyword(s):

Feature Selection ◽

Least Squares ◽

Regularized Least Squares ◽

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Fast orthogonal least squares algorithm for efficient subset model selection

IEEE Transactions on Signal Processing ◽

10.1109/78.398734 ◽

1995 ◽

Vol 43 (7) ◽

pp. 1713-1715 ◽

Author(s):

S. Chen ◽

J. Wigger

Keyword(s):

Model Selection ◽

Least Squares ◽

Orthogonal Least Squares ◽

Least Squares Algorithm

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Recovery of Sparse Signals Using Multiple Orthogonal Least Squares

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2016.2639467 ◽

2017 ◽

Vol 65 (8) ◽

pp. 2049-2062 ◽

Author(s):

Jian Wang ◽

Ping Li

Keyword(s):

Least Squares ◽

Sparse Signals ◽

Orthogonal Least Squares

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