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Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)

IEEE transaction on neural networks and learning systems, 2015-01, Vol.26 (1), p.21-34

2015

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Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)

IEEE transaction on neural networks and learning systems, 2015-01, Vol.26 (1), p.7-20

2015

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Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2021-06, Vol.22 (6), p.3234-3246

2021

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L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm

IEEE transactions on signal processing, 2014-05, Vol.62 (9-12), p.2317-2329

2014

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Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm

IEEE transactions on signal processing, 2016-10, Vol.64 (19), p.5106-5118

2016

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Shrinkage Degree in L -Rescale Boosting for Regression

IEEE transaction on neural networks and learning systems, 2017-08, Vol.28 (8), p.1851-1864

2017

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Learning Capability of Relaxed Greedy Algorithms

IEEE transaction on neural networks and learning systems, 2013-10, Vol.24 (10), p.1598-1608

2013

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An Improved Commutation Prediction Algorithm to Mitigate Commutation Failure in High Voltage Direct Current

Energies (Basel), 2017-10, Vol.10 (10), p.1481

2017

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Almost optimal estimates for approximation and learning by radial basis function networks

Machine learning, 2014-05, Vol.95 (2), p.147-164

2014

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Sparse solution of underdetermined linear equations via adaptively iterative thresholding

Signal processing, 2014-04, Vol.97, p.152-161

2014

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Learning capability of the truncated greedy algorithm

Science China. Information sciences, 2016-05, Vol.59 (5), p.45-59, Article 052103

2016

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Essential rate for approximation by spherical neural networks

Neural networks, 2011-09, Vol.24 (7), p.752-758

2011

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Linear and nonlinear approximation of spherical radial basis function networks

Journal of Complexity, 2016-08, Vol.35, p.86-101

Lin, Shaobo

2016

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Fast Learning With Polynomial Kernels

IEEE transactions on cybernetics, 2019-10, Vol.49 (10), p.3780-3792

2019

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L 1 / 2 Regularization: Convergence of Iterative Half Thresholding Algorithm

IEEE transactions on signal processing, 2014-05, Vol.62 (9), p.2317-2329

2014

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Rescaled Boosting in Classification

IEEE transaction on neural networks and learning systems, 2019-09, Vol.30 (9), p.2598-2610

2019

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Pore characteristics and influencing factors of different types of shales

Marine and petroleum geology, 2019-04, Vol.102, p.391-401

2019

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Constructive approximate interpolation by neural networks in the metric space

Mathematical and computer modelling, 2010-11, Vol.52 (9), p.1674-1681

2010

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Constructive Neural Network Learning

IEEE transactions on cybernetics, 2019-01, Vol.49 (1), p.221-232

2019

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Simultaneous approximation by spherical neural networks

Neurocomputing (Amsterdam), 2016-01, Vol.175, p.348-354

2016

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Interpolation and Best Approximation for Spherical Radial Basis Function Networks

Abstract and Applied Analysis, 2013-01, Vol.2013 (2013), p.658-662-169

2013

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Learning rates of regularized regression on the unit sphere

Science China. Mathematics, 2013-04, Vol.56 (4), p.861-876

2013

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Cubature Formula for Spherical Basis Function Networks

Chinese annals of mathematics. Serie B, 2012-11, Vol.33 (6), p.807-814

2012

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Learning Through Deterministic Assignment of Hidden Parameters

IEEE transactions on cybernetics, 2020-05, Vol.50 (5), p.2321-2334

2020

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Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.474-485

2019

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Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)

Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey

L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm

Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm

Shrinkage Degree in L -Rescale Boosting for Regression

Learning Capability of Relaxed Greedy Algorithms

An Improved Commutation Prediction Algorithm to Mitigate Commutation Failure in High Voltage Direct Current

Almost optimal estimates for approximation and learning by radial basis function networks

Sparse solution of underdetermined linear equations via adaptively iterative thresholding

Learning capability of the truncated greedy algorithm

Essential rate for approximation by spherical neural networks

Linear and nonlinear approximation of spherical radial basis function networks

Fast Learning With Polynomial Kernels

L 1 / 2 Regularization: Convergence of Iterative Half Thresholding Algorithm

Rescaled Boosting in Classification

Pore characteristics and influencing factors of different types of shales

Constructive approximate interpolation by neural networks in the metric space

Constructive Neural Network Learning

Simultaneous approximation by spherical neural networks

Interpolation and Best Approximation for Spherical Radial Basis Function Networks

Learning rates of regularized regression on the unit sphere

Cubature Formula for Spherical Basis Function Networks

Learning Through Deterministic Assignment of Hidden Parameters

Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation

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