Výsledky vyhľadávania - pseudo-linear regression algorithms*

On the bias distribution of pseudo-linear regression algorithms in recursive identification ; Distribution des biais des algorithmes de régression pseudo-linéaire en identification récursive

Autori: Vau, Bernard Bourlès, Henri Exail (iXblue) (Exail (iXblue)) a ďalší

Prispievatelia: Vau, Bernard Bourlès, Henri Exail (iXblue) (Exail (iXblue)) a ďalší

Zdroj: https://hal.science/hal-05349783 ; 2025.

Predmety: [SPI]Engineering Sciences [physics], [MATH]Mathematics [math]

Time: 93

Dostupnosť: https://hal.science/hal-05349783
https://hal.science/hal-05349783v1/document
https://hal.science/hal-05349783v1/file/PLR_bias_JACSP_pour_ArXiv.pdf

Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions

Autori: Vau, Bernard Bourlès, Henri Bourles, Henri

Prispievatelia: Vau, Bernard Bourlès, Henri Bourles, Henri

Zdroj: Systems & Control Letters. 119:46-51

Predmety: 0209 industrial biotechnology, 0203 mechanical engineering, [SPI] Engineering Sciences [physics], FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), 02 engineering and technology, Electrical Engineering and Systems Science - Systems and Control

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1806.06895
http://arxiv.org/abs/1806.06895
https://hal.archives-ouvertes.fr/hal-02367957
http://dblp.uni-trier.de/db/journals/scl/scl119.html#VauB18
https://arxiv.org/abs/1806.06895
https://hal.archives-ouvertes.fr/hal-02367957/document
https://www.sciencedirect.com/science/article/abs/pii/S016769111830118X
http://arxiv.org/pdf/1806.06895.pdf

Existence of stationary points for pseudo-linear regression identification algorithms

Autori: Phillip A. Regalia Mamadou Mboup Mehdi Ashari

Zdroj: IEEE Transactions on Automatic Control. 44:994-998

Predmety: undermodeling, 0209 industrial biotechnology, adaptive identification, Identification in stochastic control theory, 0202 electrical engineering, electronic engineering, information engineering, pseudo-linear regression algorithms, stationary disturbance, reduced order model, 02 engineering and technology

Popis súboru: application/xml

Prístupová URL adresa: http://www-public.tem-tsp.eu/%7Eregalia/personal/articles/ac-may-99.pdf
https://zbmath.org/1518282
https://doi.org/10.1109/9.763215
http://www-public.tem-tsp.eu/~regalia/personal/articles/ac-may-99.pdf
https://dblp.uni-trier.de/db/journals/tac/tac44.html#RegaliaMA99
https://ieeexplore.ieee.org/document/763215/

Link Adaptation on an Underwater Communications Network Using Machine Learning Algorithms: Boosted Regression Tree Approach

Autori: M.S.M. Alamgir Mst. Najnin Sultana Kyunghi Chang

Zdroj: IEEE Access, Vol 8, Pp 73957-73971 (2020)

Predmety: K-nearest neighbors, machine learning, link adaptation, Boosted regression tree analysis, 0202 electrical engineering, electronic engineering, information engineering, pseudo-linear discriminant analysis, support vector machine, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 14. Life underwater, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09042325.pdf
https://doaj.org/article/9aac2e6596be4a1686a739748f6365ee
https://dblp.uni-trier.de/db/journals/access/access8.html#MSC20
https://ieeexplore.ieee.org/document/9042325/

Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms

Autori: M. W. P. Maduranga Valmik Tilwari Ruvan Abeysekera

Zdroj: Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-20 (2024)

Predmety: Internet of Things, Indoor localization, Machine learning, Received signal strength indicator, Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2314-7172

Prístupová URL adresa: https://doaj.org/article/294d7a34dfa74ecf9f49d7f39de1ccd8

On the asymptotic accuracy of pseudo-linear regression algorithms

Autori: Göte Solbrand Torsten Söderström Anders Ahlén a ďalší

Zdroj: International Journal of Control. 39:115-126

Predmety: 0209 industrial biotechnology, 0203 mechanical engineering, 02 engineering and technology

Prístupová URL adresa: http://www.tandfonline.com/doi/ref/10.1080/00207178408933152

On the convergence of pseudo-linear regression algorithms

Autori: Göte Solbrand Torsten Söderström Anders Ahlén a ďalší

Zdroj: International Journal of Control. 41:1429-1444

Predmety: 0209 industrial biotechnology, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://www.tandfonline.com/doi/abs/10.1080/0020718508961207

Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms.

Autori: Maduranga, M. W. P. Tilwari, Valmik Abeysekera, Ruvan

Zdroj: Journal of Electrical Systems & Information Technology; 2/17/2024, Vol. 11 Issue 1, p1-20, 20p

Predmety: MACHINE learning, RANDOM forest algorithms, STANDARD deviations, LINEAR systems, LINEAR equations, NONLINEAR systems, WIRELESS Internet

Pseudo-linear regression identification based on generalized orthonormal transfer functions: Convergence conditions and bias distribution

Autori: Vau, Bernard Bourlès, Henri

Témy: Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/1807.05592

Classical machine learning and artificial neural network (ANN) to predict rejection in weaving industry.

Autori: Ahmed, Toufique

Zdroj: Journal of Electrical Systems & Information Technology; 6/24/2025, Vol. 12 Issue 1, p1-26, 26p

Predmety: MACHINE learning, ARTIFICIAL neural networks, WEAVING, MULTIVARIATE analysis, TEXTILE industry, RANDOM forest algorithms, BOOSTING algorithms

Existence of stationary points for pseudo-linear regression identification algorithms.

Autori: Regalia, Phillip A. Mboup, Mamadou

Zdroj: IEEE Transactions on Automatic Control; May99, Vol. 44 Issue 5, p994, 4p, 1 Diagram

Predmety: REGRESSION analysis, STATIONARY sequences (Mathematics)

Identification algorithms based on pseudo-linear regression with predictors parametrized on generalized bases of orthonormal transfer functions ; Algorithmes d’identification par régression pseudo-linéaire avec prédicteurs paramétrisés sur des bases généralisées de fonctions de transfert orthonormales

Autori: Vau, Bernard Université Paris-Saclay (ComUE) Bourlès, Henri

Prispievatelia: Vau, Bernard Université Paris-Saclay (ComUE) Bourlès, Henri

Zdroj: Theses.fr

Predmety: Identification en temps discret, Algorithme récursif, Distribution de biais, Discrete-Time identification, Recursive algorithm, Bias distribution, stat, manag

Relation: 10670/1.f77bel; http://www.theses.fr/2019SACLN062

Dostupnosť: http://www.theses.fr/2019SACLN062

Algorithmes d’identification par régression pseudo-linéaire avec prédicteurs paramétrisés sur des bases généralisées de fonctions de transfert orthonormales ; Identification algorithms based on pseudo-linear regression with predictors parametrized on generalized bases of orthonormal transfer functions

Autori: Vau, Bernard Université Paris-Saclay (ComUE) Bourlès, Henri

Prispievatelia: Vau, Bernard Université Paris-Saclay (ComUE) Bourlès, Henri

Predmety: Identification en temps discret, Algorithme récursif, Distribution de biais, Discrete-Time identification, Recursive algorithm, Bias distribution

Relation: http://www.theses.fr/2019SACLN062

Dostupnosť: http://www.theses.fr/2019SACLN062

Survey of Nonlinear State Estimation Algorithms.

Autori: Pak, Jung Min Zhao, Shunyi Ahn, Choon Ki

Zdroj: International Journal of Control, Automation & Systems; Oct2025, Vol. 23 Issue 10, p2807-2820, 14p

Model identification of ventilation air pump utilizing Ridge-momentum regression and Grid-based structure optimization.

Autori: Truong, Cong Toai Phan, Trung Dat Duong, Van Tu a ďalší

Zdroj: Mathematical Biosciences & Engineering; 2025, Vol. 22 Issue 8, p1-19, 19p

A Hybrid Hierarchical Mathematical Heuristic Solution of Sparse Algebraic Equations in Sentiment Analysis.

Autori: Jalali, Maryam Zahedi, Morteza Gharahbagh, Abdorreza Alavi a ďalší

Zdroj: Information; Sep2024, Vol. 15 Issue 9, p513, 15p

Predmety: SENTIMENT analysis, TEXT mining, STATISTICS, ALGEBRAIC equations, GENETIC algorithms

Identification for Precision Mechatronics: An Auxiliary Model‐Based Hierarchical Refined Instrumental Variable Algorithm.

Autori: Zhang, Chen Liu, Yang Liu, Kaixin a ďalší

Zdroj: International Journal of Robust & Nonlinear Control. Aug2025, Vol. 35 Issue 12, p5026-5042. 17p.

Predmety: *PARAMETER estimation, *MAXIMUM likelihood statistics, *CONTINUOUS time systems, *COMPUTER simulation, *MECHATRONICS

Multi‐innovation Newton recursive methods for solving the support vector machine regression problems.

Autori: Ma, Hao Ding, Feng Wang, Yan

Zdroj: International Journal of Robust & Nonlinear Control; Oct2021, Vol. 31 Issue 15, p7239-7260, 22p

Predmety: NEWTON-Raphson method, SUPPORT vector machines, ALGORITHMS, PARAMETER identification, VECTOR fields

Robust Bluetooth AoA Estimation for Indoor Localization Using Particle Filter Fusion.

Autori: Qiu, Kaiyue Chen, Ruizhi Guo, Guangyi a ďalší

Zdroj: Applied Sciences (2076-3417); Jul2024, Vol. 14 Issue 14, p6208, 15p

Predmety: INDOOR positioning systems, RADIO measurements, 5G networks, TRANSMITTERS (Communication), ALGORITHMS

On the convergence of pseudo-linear regression algorithms.

Autori: STOICA, PETRE SÖDERSTRÖM, TORSTEN AHLÉN, ANDERS a ďalší

Zdroj: International Journal of Control; Jun1985, Vol. 41 Issue 6, p1429-1444, 16p