A Randomized Algorithm for Multivariate Function Approximation

Yeonjong Shin; Dongbin Xiu

doi:10.1137/16m1075193

A Randomized Algorithm for Multivariate Function Approximation

SIAM Journal on Scientific Computing ◽

10.1137/16m1075193 ◽

2017 ◽

Vol 39 (3) ◽

pp. A983-A1002 ◽

Cited By ~ 10

Author(s):

Yeonjong Shin ◽

Dongbin Xiu

Keyword(s):

Function Approximation ◽

Randomized Algorithm ◽

Multivariate Function

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Networks of exponential neurons for multivariate function approximation

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

10.1109/ijcnn.1991.170732 ◽

1991 ◽

Cited By ~ 3

Author(s):

S. Geva ◽

J. Sitte

Keyword(s):

Function Approximation ◽

Multivariate Function

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A novel piecewise multivariate function approximation method via universal matrix representation

Journal of Mathematical Chemistry ◽

10.1007/s10910-013-0179-y ◽

2013 ◽

Vol 51 (7) ◽

pp. 1784-1801 ◽

Cited By ~ 7

Author(s):

Süha Tuna ◽

Burcu Tunga

Keyword(s):

Approximation Method ◽

Function Approximation ◽

Matrix Representation ◽

Multivariate Function

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Application of Feedforward Neura Networks in Multivariate Function Approximation

Statistics and Applications ◽

10.12677/sa.2020.96110 ◽

2020 ◽

Vol 09 (06) ◽

pp. 1048-1059

Author(s):

悠然葛

Keyword(s):

Function Approximation ◽

Multivariate Function

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IMPLEMENTATION OF OPTIMIZED ADAPTIVE CONTROL FUNCTIONS - A PROBLEM IN MULTIVARIATE FUNCTION APPROXIMATION

10.2514/6.1963-417 ◽

1963 ◽

Cited By ~ 2

Author(s):

RICHARD VANCE

Keyword(s):

Adaptive Control ◽

Function Approximation ◽

Multivariate Function ◽

Control Functions

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Correcting Data Corruption Errors for Multivariate Function Approximation

SIAM Journal on Scientific Computing ◽

10.1137/16m1059473 ◽

2016 ◽

Vol 38 (4) ◽

pp. A2492-A2511 ◽

Cited By ~ 4

Author(s):

Yeonjong Shin ◽

Dongbin Xiu

Keyword(s):

Function Approximation ◽

Multivariate Function ◽

Data Corruption

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Near-Optimal Sampling Strategies for Multivariate Function Approximation on General Domains

SIAM Journal on Mathematics of Data Science ◽

10.1137/19m1279459 ◽

2020 ◽

Vol 2 (3) ◽

pp. 607-630

Author(s):

Ben Adcock ◽

Juan M. Cardenas

Keyword(s):

Function Approximation ◽

Optimal Sampling ◽

Sampling Strategies ◽

Multivariate Function

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A constructive method for multivariate function approximation by multilayer perceptrons

IEEE Transactions on Neural Networks ◽

10.1109/72.143376 ◽

1992 ◽

Vol 3 (4) ◽

pp. 621-624 ◽

Cited By ~ 63

Author(s):

S. Geva ◽

J. Sitte

Keyword(s):

Function Approximation ◽

Constructive Method ◽

Multilayer Perceptrons ◽

Multivariate Function

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On the Use of Function Approximation Potential of Artificial Neural Networks for Predicting Elastic Moduli of Binary Oxide Glass Systems

Global Journal For Research Analysis ◽

10.15373/22778160/february2014/60 ◽

2012 ◽

Vol 3 (2) ◽

pp. 186-189

Author(s):

Dr.R.Sheelarani Dr.R.Sheelarani ◽

◽

Dr. K.T. Arulmozhi Dr. K.T. Arulmozhi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Function Approximation ◽

Elastic Moduli ◽

Binary Oxide ◽

Oxide Glass ◽

Artificial Neural

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A Technique for Improving the Positioning Accuracy of Maximum-Correlation Radio Navigation Systems Through the Use of Decision Function Approximation Methods

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v58.i9-10.150 ◽

2002 ◽

Vol 58 (9-10) ◽

pp. 9

Author(s):

Valeriy Ivanovich Antyufeev ◽

I.E. Bakulin ◽

V. N. Bykov ◽

A. M. Grichanyuk ◽

T.V. Miroshnik-Bykova

Keyword(s):

Function Approximation ◽

Decision Function ◽

Approximation Methods ◽

Navigation Systems ◽

Maximum Correlation ◽

Positioning Accuracy ◽

Radio Navigation

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A function approximation approach to anomaly detection in propulsionsystem test data

10.2514/6.1993-1776 ◽

1993 ◽

Cited By ~ 1

Author(s):

BRUCE WHITEHEAD ◽

W. HOYT

Keyword(s):

Anomaly Detection ◽

Test Data ◽

Function Approximation ◽

Approximation Approach

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