An Approximate Maximum Likelihood Estimation of a Class of Nonlinear Systems Using Neural Networks and Noise Models

Shigenobu YAMAWAKI; Masashi FUJINO; Syozo IMAO

doi:10.5687/iscie.12.203

An Approximate Maximum Likelihood Estimation of a Class of Nonlinear Systems Using Neural Networks and Noise Models

Transactions of the Institute of Systems Control and Information Engineers ◽

10.5687/iscie.12.203 ◽

1999 ◽

Vol 12 (4) ◽

pp. 203-211 ◽

Cited By ~ 3

Author(s):

Shigenobu YAMAWAKI ◽

Masashi FUJINO ◽

Syozo IMAO

Keyword(s):

Neural Networks ◽

Maximum Likelihood ◽

Nonlinear Systems ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood ◽

Noise Models

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Approximate Maximum Likelihood Estimation Using a 3D GNSS Simulator for Positioning in MP/NLOS Conditions

Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) ◽

10.33012/2017.15213 ◽

2017 ◽

Cited By ~ 2

Author(s):

Nabil Kbayer ◽

Mohamed Sahmoudi ◽

H�ctor Ortega ◽

C�dric Rouch

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

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Approximate maximum likelihood estimation in linear regression

Annals of the Institute of Statistical Mathematics ◽

10.1007/bf00773670 ◽

1993 ◽

Vol 45 (1) ◽

pp. 89-104 ◽

Cited By ~ 1

Author(s):

Michael A. Magdalinos

Keyword(s):

Maximum Likelihood ◽

Linear Regression ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

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Effective Approximate Maximum Likelihood Estimation of Angles of Arrival for Non-Coherent Sub-Arrays

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053204 ◽

2020 ◽

Cited By ~ 1

Author(s):

Tom Tirer ◽

Oded Bialer

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

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Approximate Maximum Likelihood Estimation of Circle Parameters

Journal of Optimization Theory and Applications ◽

10.1007/s10957-005-2098-y ◽

2005 ◽

Vol 125 (3) ◽

pp. 723-734 ◽

Cited By ~ 10

Author(s):

Y. T. Chan ◽

B. H. Lee ◽

S. M. Thomas

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

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Cramer-Rao bound and approximate maximum likelihood estimation for non-coherent direction of arrival problem

2016 Annual Conference on Information Science and Systems (CISS) ◽

10.1109/ciss.2016.7460554 ◽

2016 ◽

Cited By ~ 5

Author(s):

Wei Jiang ◽

Alexander M. Haimovich

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Direction Of Arrival ◽

Approximate Maximum Likelihood ◽

Cramer Rao Bound

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Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2008.2000577 ◽

2008 ◽

Vol 19 (8) ◽

pp. 1456-1467 ◽

Cited By ~ 7

Author(s):

C. Cervellera ◽

D. Maccio ◽

M. Muselli

Keyword(s):

Neural Networks ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Deterministic Learning

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Approximate maximum likelihood estimation for logistic regression with covariate measurement error

Biometrical Journal ◽

10.1002/bimj.202000024 ◽

2020 ◽

Author(s):

Zhiqiang Cao ◽

Man Yu Wong

Keyword(s):

Logistic Regression ◽

Maximum Likelihood ◽

Measurement Error ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood ◽

Covariate Measurement Error

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Approximate maximum-likelihood estimation using semidefinite programming

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ◽

10.1109/icassp.2003.1201783 ◽

2004 ◽

Cited By ~ 4

Author(s):

J. Dahl ◽

B.H. Fleury ◽

L. Vandenberghe

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Semidefinite Programming ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood

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Corrigendum to approximate maximum likelihood estimation of the mean and standard eviation of the normal distribution based on type i1 censored samples

Journal of Statistical Computation and Simulation ◽

10.1080/00949659208811433 ◽

1992 ◽

Vol 43 (1-2) ◽

pp. 123-123

Author(s):

N. Balakrishnan

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Normal Distribution ◽

Likelihood Estimation ◽

Approximate Maximum Likelihood ◽

Censored Samples ◽

The Mean

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Step change point estimation in the multivariate-attribute process variability using artificial neural networks and maximum likelihood estimation

Journal of Industrial Engineering International ◽

10.1007/s40092-015-0117-7 ◽

2015 ◽

Vol 11 (4) ◽

pp. 505-515 ◽

Cited By ~ 3

Author(s):

Mohammad Reza Maleki ◽

Amirhossein Amiri ◽

Seyed Meysam Mousavi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Change Point ◽

Likelihood Estimation ◽

Step Change ◽

Point Estimation ◽

Process Variability ◽

Change Point Estimation

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