Výsledky vyhledávání - pseudo-linear regression algorithms*

  1. 1

    On the convergence of pseudo-linear regression algorithms Autor STOICA, PETRE, SÖDERSTRÖM, TORSTEN, AHLÉN, ANDERS, SOLBRAND, GÓTE

    ISSN: 0020-7179, 1366-5820
    Vydáno: London Taylor & Francis Group 01.01.1985
    Vydáno v International journal of control (01.01.1985)
    “…The convergence properties of a general iterative (off-line) pseudo-linear regression (PLR…”
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    Journal Article
  2. 2

    On the asymptotic accuracy of pseudo-linear regression algorithms Autor STOICA, P, SODERSTROM, T, AHLEN, A, SOLBRAND, G

    ISSN: 0020-7179, 1366-5820
    Vydáno: London Taylor & Francis Group 01.01.1984
    Vydáno v International journal of control (01.01.1984)
    “…The accuracy properties of a general pseudo-linear regression (PLR) method are examined…”
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    Journal Article
  3. 3

    Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions Autor Vau, Bernard, Bourlès, Henri

    ISSN: 0167-6911, 1872-7956
    Vydáno: Elsevier B.V 01.09.2018
    Vydáno v Systems & control letters (01.09.2018)
    “…), not for pseudo-linear regression (PLR) ones, for which we give the correct frequency domain bias analysis, both in open- and closed-loop…”
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  4. 4

    Existence of stationary points for pseudo-linear regression identification algorithms Autor Regalia, P.A., Mboup, M., Ashari, M.

    ISSN: 0018-9286
    Vydáno: New York, NY IEEE 01.05.1999
    “…The authors prove the existence of a stable transfer function satisfying the nonlinear equations characterizing an asymptotic stationary point, in undermodeled cases, for a class of pseudo-linear…”
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  5. 5

    Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions Autor Vau, Bernard, Bourlès, Henri

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 18.06.2018
    Vydáno v arXiv.org (18.06.2018)
    “…), not for pseudo-linear regression (PLR) ones, for which we give the correct frequency domain bias analysis, both in open- and closed-loop…”
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    Paper
  6. 6

    Gradient-based iterative parameter estimation for Box–Jenkins systems Autor Wang, Dongqing, Yang, Guowei, Ding, Ruifeng

    ISSN: 0898-1221, 1873-7668
    Vydáno: Elsevier Ltd 01.09.2010
    “…–Jenkins systems with finite measurement input/output data. Compared with the pseudo-linear regression stochastic gradient approach, the proposed algorithm updates…”
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    Journal Article
  7. 7

    Identification for Precision Mechatronics: An Auxiliary Model‐Based Hierarchical Refined Instrumental Variable Algorithm Autor Zhang, Chen, Liu, Yang, Liu, Kaixin, Song, Fazhi

    ISSN: 1049-8923, 1099-1239
    Vydáno: Hoboken, USA John Wiley & Sons, Inc 01.08.2025
    “…ABSTRACT When the physical properties of mechanical systems align with the structure of the model, the continuous‐time (CT) systems can be effectively…”
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  8. 8

    New approach for kinetic parameters determination for hydrothermal oxidation reaction Autor Mateos, David, Portela, Juan R., Mercadier, Jacques, Marias, Frédéric, Marraud, Christine, Cansell, François

    ISSN: 0896-8446, 1872-8162
    Vydáno: Elsevier B.V 01.05.2005
    Vydáno v The Journal of supercritical fluids (01.05.2005)
    “… °C and at a constant pressure of 25 MPa. Three different methods, namely pseudo-first-order kinetics, multiple linear regression and Runge…”
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  9. 9

    Spatial characterization of periodic behaviors of ground PM2.5 concentration across the Yangtze River Delta and the North China Plain during 2014–2024: A new insight on driving processes of regional air pollution Autor Liu, Ying, Adamu, Andualem Tsehaye, Tan, Jianguo

    ISSN: 0013-9351, 1096-0953, 1096-0953
    Vydáno: Elsevier Inc 15.07.2025
    Vydáno v Environmental research (15.07.2025)
    “…) algorithm with a pseudo F statistic extraction and harmonic regression analysis with a linear trend term…”
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  10. 10

    Recursive computational formulas of the least squares criterion functions for scalar system identification Autor Ma, Junxia, Ding, Rui

    ISSN: 0307-904X
    Vydáno: Elsevier Inc 01.01.2014
    Vydáno v Applied mathematical modelling (01.01.2014)
    “… The proposed recursive computation formulas can be extended to the estimation algorithms of the pseudo-linear regression models for equation error systems and output error systems…”
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  11. 11

    Inference of gene regulatory networks using pseudo-time series data Autor Zhang, Yuelei, Chang, Xiao, Liu, Xiaoping

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydáno: England Oxford University Press 25.08.2021
    Vydáno v Bioinformatics (Oxford, England) (25.08.2021)
    “… Results Here, we proposed a novel method, GNIPLR (Gene networks inference based on projection and lagged regression…”
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  12. 12

    Patching rainfall data using regression methods. 3. Grouping, patching and outlier detection Autor Pegram, Geoffrey

    ISSN: 0022-1694, 1879-2707
    Vydáno: Elsevier B.V 01.11.1997
    Vydáno v Journal of hydrology (Amsterdam) (01.11.1997)
    “… Algorithms are described which accomplish these tasks using the covariance biplot, multiple linear regression, singular value decomposition and the pseudo-Expectation…”
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  13. 13

    EPS: automated feature selection in case–control studies using extreme pseudo-sampling Autor Shemirani, Ruhollah, Wenric, Stephane, Kenny, Eimear, Ambite, José Luis

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydáno: England Oxford University Press 11.10.2021
    Vydáno v Bioinformatics (Oxford, England) (11.10.2021)
    “…–control datasets is challenging. The Extreme Pseudo-Sampling (EPS) algorithm offers a solution to the challenge of feature selection via a combination of deep learning and linear regression models…”
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    Journal Article
  14. 14

    Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method Autor Ksantini, R., Ziou, D., Colin, B., Dubeau, F.

    ISSN: 0162-8828, 1939-3539
    Vydáno: Los Alamitos, CA IEEE 01.02.2008
    “…In this paper, we investigate the effectiveness of a Bayesian logistic regression model to compute the weights of a pseudometric in order to improve its discriminatory capacity and thereby increase…”
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  15. 15

    Transformation of Multispectral Data to Quasi-Hyperspectral Data Using Convolutional Neural Network Regression Autor Paul, Subir, Nagesh Kumar, D.

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York IEEE 01.04.2021
    “… In this article, we propose the use of convolutional neural network regression (CNNR), a deep learning-based algorithm, for MS (i.e., Landsat 7/8) to quasi-HS (i.e., quasi-Hyperion…”
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  16. 16

    An l2-stable feedback structure for nonlinear adaptive filtering and identification Autor Sayed, Ali H., Rupp, Markus

    ISSN: 0005-1098, 1873-2836
    Vydáno: Oxford Elsevier Ltd 1997
    Vydáno v Automatica (Oxford) (1997)
    “… in IIR modeling and more recent results in H ∞ theory. In particular, two algorithms due to Feintuch and to Landau, as well as the so-called pseudo-linear regression and Gauss-Newton algorithms, are discussed within the framework proposed here…”
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  17. 17

    Comparison of hyperspectral transformation accuracies of multispectral Landsat TM, ETM+, OLI and EO-1 ALI images for detecting minerals in a geothermal prospect area Autor Hoang, Nguyen Tien, Koike, Katsuaki

    ISSN: 0924-2716, 1872-8235
    Vydáno: Elsevier B.V 01.03.2018
    “…+ images into pseudo-EO-1 Hyperion images using multiple linear regression models of ETM…”
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  18. 18

    Cd (II) and Zn (II) biosorption on Lactarius piperatus macrofungus: Equilibrium isotherm and kinetic studies Autor Nagy, Boldizsar, Szilagyi, Botond, Majdik, Cornelia, Katona, Gabriel, Indolean, Cerasella, Măicăneanu, Andrada

    ISSN: 1944-7442, 1944-7450
    Vydáno: Hoboken, NJ Blackwell Publishing Ltd 01.12.2014
    “…In this study, biosorption of cadmium (Cd) (II) and zinc (Zn) (II) ions from synthetic wastewater was investigated using Lactarius piperatus macrofungus…”
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  19. 19

    An estimation algorithm for AR models with closely located lightly damped low frequency poles Autor Harteneck, M., Stewart, R.W., McWhirter, J.G., Proudler, I.K.

    ISBN: 0818679190, 9780818679193
    ISSN: 1520-6149
    Vydáno: Washington DC IEEE 1997
    “… The adaptive filtering algorithm used, is a pseudo-linear regression algorithm which is solved by a time-recursive QR decomposition…”
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    Konferenční příspěvek
  20. 20

    Randomly censored partially linear single-index models Autor Lu, Xuewen, Cheng, Tsung-Lin

    ISSN: 0047-259X, 1095-7243
    Vydáno: San Diego, CA Elsevier Inc 01.11.2007
    Vydáno v Journal of multivariate analysis (01.11.2007)
    “…; second, obtain quasi-likelihood estimates of the regression coefficients in both linear and single-index components by an iteratively algorithm…”
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