Prof. Dr.
Sergei Pereverzyev
CMS Analyse
Kontakt
Email: Sergei.Pereverzyev(at)oeaw.ac.at
Telefon: +43 732 2468 5215
Veröffentlichungen
Beitrag in Fachzeitschrift (67)
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Holzleitner, Markus; Pereverzyev, Sergei V.; Zellinger, Werner (2024) Domain Generalization by Functional Regression. Numerical Functional Analysis and Optimization.
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Zellinger, Werner; Kindermann, Stefan; Sergei, Pereverzyev (2023) Adaptive learning of density ratios in RKHS. Journal of Machine Learning Research, Bd. 24 (1004), S. 1-28.RIS ENW BIB
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Yuanyuan Li, Shuai Lu, Peter Mathé, Sergei V. Pereverzyev (2023) Two-layer networks with the ( ext {ReLU}^k) activation function: Barron spaces and derivative approximation. Numerische Mathematik, Bd. 155, S. 1-25.
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Mark Žic, Sergiy Pereverzyev (2023) Application of self-adapting regularization, machine learning tools and limits in Levenberg-Marquardt algorithm to solve CNLS problem. Journal of Electroanalytical Chemistry, Bd. 939, S. 117420.
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Zic, M. Kunaver and Z. Rojec and V. Subotic and S. Pereverzyev and M. (2022) Extraction of Distribution Function of Relaxation Times by using DRT-RBLM Tools: A New Approach to Combine Levenberg-Marquardt Algorithm and Radial Basis Functions for Discretization Basis. Journal of The Electrochemical Society, Bd. 169 (11), S. 110529.DOI RIS ENW BIB
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Zic, M.; Vlasic, L.; Subotic, V; Pereverzyev, S.; Fajfar, I et al. [..] (2022) Extraction of Distribution Function of Relaxation Times by using Levenberg-Marquardt Algorithm: A New Approach to Apply a Discretization Error Free Jacobian Matrix. J. Electrochem. Soc., Bd. 169 (3), S. ARTN 030508.DOI RIS ENW BIB
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Elke R. Gizewski, Lukas Mayer, Bernhard A. Moser, Duc Hoan Nguyen, Sergiy Pereverzyev Jr., Sergei V. Pereverzyev, Natalia Shepeleva, Werner Zellinger (2022) On a regularization of unsupervised domain adaptation in RKHS. Applied and Computational Harmonic Analysis, Bd. 57, S. 201-227.
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Hrushikesh Mhaskar, Sergei Pereverzyev, Maria Dorothea Van Der Walt (2021) A Function Approximation Approach to the Prediction of Blood Glucose Levels. Fontiers in Applied Mathematics and Statistics, Bd. 7, S. 13.DOI RIS ENW BIB
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H N. Mhaskar, S V. Pereverzyev and M. D. Van Der Walt (2021) A function approximation approach to the prediction of blood glucose levels. Frontiers in Applied Mathematics and Statistics, Bd. 11, S. 10.DOI RIS ENW BIB
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Zic, Mark; Fajfar, Iztok; Subotic, Vanja; Pereverzyev, Sergei; Kunaver, Matevz (2021) Investigation of Electrochemical Processes in Solid Oxide Fuel Cells by Modified Levenberg-Marquardt Algorithm: A New Automatic Update Limit Strategy. PROCESSES, Bd. 9 (1), S. ARTN 108.DOI RIS ENW BIB
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Shuai Lu, Peter Mathe, Sergei Pereverzyev (2020) Randomized matrix approximation to enhance regularized projection schemes in inverse problems. Inverse Problems, Bd. 36, S. 20.DOI RIS ENW BIB
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Shuai Lu, Peter Mathé and Sergei V. Pereverzev (2020) Randomized matrix approximation to enhance regularized projection schemes ininverse problems. Inverse Problems, Bd. 36 (8), S. 085013 (20pp).
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M. Krasnoschok, S. Pereverzyev, S.V. Siryk, N. Vasylyeva (2020) Determination of the fractional order in semilinear subdiffusion equations. Fractional Calculus and Applied Analysis, Bd. 23 (3), S. 694 - 722 <'https://www.degruyter.com/view/journals/fca/fca-overview.xml'>.DOI RIS ENW BIB
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Mark Žica, Vanja Subotićb, Sergei Pereverzyev, Iztok, Fajfard (2020) Solving CNLS problems using Levenberg-Marquardt algorithm: A new fitting strategy combining limits and a symbolic Jacobian matrix. Journal of Electroanalytical Chemistry, Bd. 866 (1), S. 114171.DOI RIS ENW BIB
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Žic, Mark, Subotic, Vanja, Pereverzev, Sergei V., Fajfar, Iztok (2020) Solving CNLS problems using Levenberg-Marquardt algorithm: A new fitting strategy combining limits and a symbolic Jacobian matrix. Journal of Electroanalytical Chemistry, Bd. 866 (1), S. 114171.DOI RIS ENW BIB
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Mark Žic, Sergiy Pereverzyev Jr., Vanja Subotić, Sergei Pereverzyev (2020, online: 2019) Adaptive multi-parameter regularization approach to construct the distribution function of relaxation times. International Journal on Geomathematics, Bd. 11 (2), S. 1-23.
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Mark Žic, Sergei Pereverzyev (2019) Optimizing noisy CNLS problems by using Nelder-Mead algorithm: A new method to compute simplex step efficiency. Journal of Electroanalytical Chemistry, Bd. 851, S. 113439.DOI RIS ENW BIB
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Hrushikesh Mhaskar, Sergei Pereverzyev, Vasyl Semenov and Evgeniya Semenova (2019) Data Based Construction of Kernels for Semi-supervised Learning with Less Labels. Fontiers in Applied Mathematics and Statistics, Bd. 4, S. 12.
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Sergei V. Pereverzyev, Shuai Lu, Peter Mathé (2018) Balancing principle in supervised learning for a general regularization scheme. Applied and Computational Harmonic Analysis, Bd. 45, S. 26.DOI RIS ENW BIB
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Kriukova, Galyna; Pereverzyev, Sergiy, Jr.; Tkachenko, Pavlo (2017) Nystrom type subsampling analyzed as a regularized projection. Inverse Probl., Bd. 33 (7), S. ARTN 074001.DOI RIS ENW BIB
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Hrushikesh N. Mhaskar, Sergei V. Pereverzyev and Maria D. van der Walt (2017) A Deep Learning Approach to Diabetic Blood Glucose Prediction. Frontiers in Applied Mathematics and Statistics, S. 18.
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Hrushikesh Mhaskar, Sergei Pereverzyev and Maria D. Van Der Walt (online: 2017) A deep learning approach to diabetic blood glucose prediction. Frontiers in Applied Mathematics and Statistics, S. 18 <'http://journal.frontiersin.org/article/10.3389/fams.2017.00014/abstract'>.
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Tkachenko, Sergei V. Pereverzyev and Pavlo (2017) Regularization by the Linear Functional Strategy with Multiple Kernels. Frontiers in Applied Mathematics and Statistics, S. 9 <'http://journal.frontiersin.org/article/10.3389/fams.2017.00001/full'>.
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Pereverzyev, Sergei V.; Mathe, Peter (2017, online: 2016) Complexity of linear ill-posed problems in Hilbert space. Journal of Complexity, Bd. 38, S. 50-67 <'http://www.sciencedirect.com/science/article/pii/S0885064X16300875'>.
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Sampath, Sivananthan; Tkachenko, Pavlo; Renard, Eric; Pereverzev, Sergei V. (2016) Glycemic Control Indices and Their Aggregation in the Prediction of Nocturnal Hypoglycemia From Intermittent Blood Glucose Measurements. Journal of Diabetes Science and Technology, Bd. 10, S. 1245-1250 <'http://dst.sagepub.com/content/10/6/1245.abstract'>.
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Tkachenko, Pavlo; Kriukova, Galyna; Aleksandrova, Marharyta; Chertov, Oleg; Renard, Eric et al. [..] (2016) Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application. Computer Methods and Programs in Biomedicine, Bd. 134, S. 179-186 <'http://www.cmpbjournal.com/article/S0169-2607(16)30164-X/abstract'>.
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Kriukova, Galyna; Pereverzyev, Sergei; Tkachenko, Pavlo (2016, online: 2015) On the convergence rate and some applications of regularized ranking algorithms. Journal of Complexity, Bd. 33, S. 14-29.DOI RIS ENW BIB
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Cao, Hui; Pereverzyev, Sergei V; Sloan, Ian H; Tkachenko, Pavlo (2016, online: 2015) Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions. Applied Mathematics and Computation, Bd. 273, S. 993-1005.
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Kriukova, Galyna; Panasiuk, Oleksandra; Pereverzyev, Sergei V; Tkachenko, Pavlo (2016, online: 2015) A linear functional strategy for regularized ranking. Neural networks, Bd. 73, S. 26-35.
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Pereverzyev, S. V.; Sloan, I. H.; Tkachenko, P. (2015) Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere. SIAM Journal on Numerical Analysis, Bd. 53 (2), S. 820-835.
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Pereverzyev, S. V.; Tkachenko, P. (2015) Pointwise Computation in an Ill-Posed Spherical Pseudo-Differential Equation. Computational Methods in Applied Mathematics, Bd. 15 (2), S. 213–219.
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Fornasier, Massimo; Naumova, Valeriya; Pereverzyev, Sergei (2014) Parameter choice strategies for multipenalty regularization. SIAM Journal on Numerical Analysis, Bd. 52 (4), S. 1770-1794.
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Naumova, Valeriya; Pereverzyev, Sergei V.; Tkachenko, Pavlo (2014, online: 2013) Regularized collocation for spherical harmonics gravitational field modeling. International Journal on Geomathematics, Bd. 5 (1), S. 17.
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Cao, Hui; Pereverzyev, Sergei; Sincich, Eva (2014, online: 2013) Discretized Tikhonov regularization for Robin boundaries localization. Applied Mathematics and Computation, Bd. 226, S. 374–385.RIS ENW BIB
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Mhaskar, Hrushikesh; Naumova, Valeriya; Pereverzyev, Sergei (2013) Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions. Applied Mathematics and Computation, Bd. 224, S. 835–847.
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Naumova, Valeriya; Pereverzyev, Sergei V. (2013) Multi-penalty regularization with a component-wise penalization. Inverse Problems, Bd. 29 (7), S. 1-16.
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Lu, S.; Naumova, V.; Pereverzyev, S. V. (2013, online: 2012) Legendre polynomials as a recommended basis for numerical differentiation in the presence of stochastic white noise. Journal of Inverse and Ill-Posed Problems, Bd. 21, S. 193-216.
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Naumova, V.; Pereverzyev, S. V. (2012) Blood Glucose Predictors: an Overview on How Recent Developments Help to Unlock the Problem of Glucose Regulation. Recent Patents on Computer Science, Bd. 5 (3), S. 1-11.Website RIS ENW BIB
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Naumova, V.; Pereverzyev, S.V.; Sampath, S. (2012, online: 2012) A meta-learning approach to the regularized learning—case study: Blood glucose prediction. Neural Networks, Bd. 33, S. 181-193.
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Naumova, V.; Pereverzyev, S. V.; Sampath, S. (2012) Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology. Journal of Complexity, Bd. 28, S. 524-538.
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Pereverzyev, Sergei V.; Solodky, Sergei G.; Volynets, Evgeny A. (2012, online: 2011) The balancing principle in solving semi-discrete inverse problems in Sobolev scales by Tikhonov method. Applicable Analysis, Bd. 91 (3), S. 435-446.Download RIS ENW BIB
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Sivananthan, Sampath; Naumova, Valeriya; Man, Chiara Dalla; Facchinetti, Andrea; Renard, Eric et al. [..] (2011) Assessment of Blood Glucose Predictors: The Prediction-Error Grid Analysis. Diabetes Technology & Therapeutics, Bd. 13 (8), S. 787-796.Download RIS ENW BIB
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Naumova, Valeriya; Pereverzyev, Sergei; Sampath, Sivananthan (2011) Extrapolation in variable RKHSs with application to the blood glucose reading. Inverse Problems, Bd. 27 (7), S. 13.Download RIS ENW BIB
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Lu, Shuai; Pereverzev, Sergei V. (2011) Multi-parameter regularization and its numerical realization. Numerische Mathematik, Bd. 118 (1), S. 1-31.Download RIS ENW BIB
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(2010) On the generalized discrepancy principle for Tikhonov regularization in Hilbert scales. Journal of Integral Equations and Applications, Bd. 22 (3), S. 483-517.Download RIS ENW BIB
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E. De Vito, S.V. Pereverzyev and L. Rosasco (2010) Adaptive Kernel Methods Using the Balancing Principle. Foundations of Computational Mathematics, Bd. 10 (4), S. 455-479.RIS ENW BIB
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Hofmann, Sergei V. Pererverzyev; Bernd (2010) Estimation of linear functionals from indirect noisy data without knowledge of the noise level. International Journal on Geomathematics, Bd. 1 (1), S. 121-131.Download RIS ENW BIB
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Yi Heng, Shuai Lu, Adel Mhamdi and Sergei V Pereverzyev (2010) Model functions in the modified L-curve method—case study: the heat flux reconstruction in pool boiling. Inverse Problems, Bd. 26 (5), S. 13pp.Download RIS ENW BIB
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Shuai Lu, Sergei V. Pereverzyev, and Ulrich Tautenhahn (2009) Regularized Total Least Squares: Computational Aspects and Error Bounds. SIAM Journal on Matrix Analysis and Applications, Bd. 31 (3), S. 918-941.Download RIS ENW BIB
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Pereverzyev, Shuai Lu and Sergei V (2009) Sparse recovery by the standard Tikhonov method. Numerische Mathematik, Bd. 112 (3), S. 403-424.Download RIS ENW BIB
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Mathe, Peter; Pereverzyev, Sergei V. (2009) The use of higher order finite difference schemes is not dangerous. Journal of Complexity, Bd. 25 (1), S. 3-10.Download RIS ENW BIB
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Hui, Cao; Michael, Klibanov; Sergei, Pereverzyev (2009) A Carleman estimate and the balancing principle in the quasi-reversibility method for solving the Cauchy problem for the Laplace equation. Inverse problems, Bd. 25, S. 035005 (21pp).Download RIS ENW BIB
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S. Lu, S. Pereverzyev, R. Ramlau (2007) An analysis of Tikhonov regularization for nonlinear ill-posed problems under general smoothness assumptions. Inverse Problems (23), S. 217-230.Download RIS ENW BIB
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B. Hofmann, P. Math´e, and S. V. Pereverzyev (2007) Regularization by projection: Approximation theoretic aspects and distance functions. J. Inv. Ill-Posed Problems, Bd. 15, S. 527-545.Download RIS ENW BIB
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B. Hofmann, P. Math´e, and S. V. Pereverzyev (2007) Regularization by projection: Approximation theoretic aspects and distance functions. J. Inv. Ill-Posed Problems, Bd. 15, S. 527–545.Download RIS ENW BIB
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Hui Cao, Sergei V. Pereverzyev (2007) The balancing principle for the regularization of elliptic Cauchy problems. Inverse Problems, Bd. 23, S. 1943-1961.Download RIS ENW BIB
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Lazarov, R.D.; Lu, S.; Pereverzyev, S. (2007) On the balancing principle for some problems of Numerical Analysis. Numerische Mathematik, Bd. 106, S. 659-689.Download RIS ENW BIB
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F. Bauer, P. Mathe, S. Pereverzyev (2007) Local solutions to Inverse Problems in Geodesy. Journal of Geodesy, Bd. 81.RIS ENW BIB
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Hui Cao, Sergei V. Pereverzyev (2006) Natural linearization for the identification of a diffusion coefficient in a quasi-linear parabolic system from short-time observations. Inverse Problems, Bd. 22(6), S. 2311-2330.Download RIS ENW BIB
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P. Mathe, S. Pereverzyev (2006) Regularization of some linear ill-posed problems with discretized random noisy data. Mathematics of Computations, Bd. 75, S. 1913-1929.Download RIS ENW BIB
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F. Bauer, S. Pereverzyev (2006) An utilization of a rough approximation of a noise covariance within the framework of multi-parameter regularization. International Journal of Tomography and Statistics, Bd. 4, S. 1-12.RIS ENW BIB
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S. Lu, S. Pereverzyev (2006) Numerical differentiation from a view point of Regularization Theory. Mathematics of Computations, Bd. 75, S. 1853-1870.Download RIS ENW BIB
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P. Mathe, S. Pereverzyev (2006) The discretized discrepancy principle under general source conditions. Journal of Complexity, Bd. 22, S. 371-381.Download RIS ENW BIB
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Nair, T.; Pereverzyev, S.; Tauthenhahn, U. (2005) Regularization in Hilbert scales under general smoothing conditions. Inverse Problems, Bd. 21(6), S. 1851-1871.RIS ENW BIB
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Bauer, F.; Pereverzyev, S. (2005) Regularization without preliminary knowledge of smoothness and error behaviour. European Journal of Applied Mathematics, Bd. 16(3), S. 303-317.RIS ENW BIB
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Engl, H.; Fusek, P.; Pereverzyev, S. (2005) Natural linearization for the identification of nonlinear heat transfer laws. Journal of Inverse and Ill-posed Problems, Bd. 13(6), S. 567-582.RIS ENW BIB
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Pereverzyev, S.; Schock, E. (2005) On the adaptive selection of the parameter in regularization of ill-posed problems. SIAM J. Numer. Analysis, Bd. 43(5), S. 2060-2076.RIS ENW BIB
Buch/Monographie (6)
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Pereverzyev, Sergei (2022) An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces. In Reihe: Compact Textbooks in Mathematics: Birkhäuser Cham.RIS ENW BIB
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H.N. Mhaskar, S.V. Pereverzyev, V.Yu. Semenov, E.V. Semenova (2020) Data Based Construction of Kernels for Classification. In Reihe: MATRIX Book Series 3, hrsg. v. al., J. de Gier et; Basel, Switzerland: Springer Nature Switzerland AG.DOI RIS ENW BIB
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Mykola Krasnoschok, Sergei Pereverzyev, Sergii V. Siryk, Nataliya Vasylyeva (2020) Regularized Reconstruction of the Order in Semilinear Subdiffusion with Memory. In Reihe: Springer Proceedings in Mathematics & Statistics, hrsg. v. Cheng J., Lu S., Yamamoto M.; Singapore: Springer.
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Naumova, Valeriya; Nita, Lucian; Poulsen, Jens Ulrik; Pereverzyev, Sergei V. (2016) Meta-Learning Based Blood Glucose Predictor for Diabetic Smartphone App. In Reihe: Lecture Notes in Bioengineering, hrsg. v. Kirchsteiger, Harald; Jørgensen, John Bagterp; Renard, Eric; Re, Luigi del, 1. Aufl.: Springer International Publishing.
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Pereverzyev, Sergiy V.; Lu, Shuai (2013) Regularization Theory for Ill-Posed Problems. Selected Topics. In Reihe: Inverse and Ill-Posed Problems Series, hrsg. v. Kabanikhin, Sergei; Berlin, Boston: DeGruyter (287 Seiten).
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Sergei Pereverzyev, Shuai Lu (2010) Multiparameter Regularization in Downward Continuation of Satellite Data., hrsg. v. Willi Freeden, M. Zuhair Nashed, Thomas Sonar; Berlin: Springer (21 Seiten).Download RIS ENW BIB
Konferenzbeitrag: Publikation in Proceedings (8)
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Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard A. Moser, Sergei Pereverzyev, Sepp Hochreiter, Werner Zellinger (2023) Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. (ICLR 2023, The Eleventh International Conference on Learning Representations).Website RIS ENW BIB
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Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei Pereverzyev, Bernhard A. Moser (2021) The balancing principle for parameter choice in distance-regularized domain adaptation. (NeurIPS 2021, Thirty-fifth Conference on Neural Information Processing Systems).Website RIS ENW BIB
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Naumova, Valeriya; Pereverzyev, Sergei V.; Sampath, Sivananthan (2011) Reading Blood Glucose from Subcutaneous Electric Current by Means of a Regularization in Variable Reproducing Kernel Hilbert Spaces. (50th IEEE Conference on Decision and Control and European Control Conference), S. 5158-5163.RIS ENW BIB
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Pereverzyev, Sergei; Sampath, Sivananthan (2009) Regularized Learning Algorithm for Prediction of Blood Glucose Concentration in ``No Action Period''. In: Perumal Nithiarasu, Rainald Löhner and Raoul van Loon (Hrsg.), 1st International Conference on Computational & Mathematical Biomedical Engineering (1st International Conference on Computational & Mathematical Biomedical Engineering) In Reihe: CMBE09; Linz: CMBE, S. 395-398.Website RIS ENW BIB
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Hui, Cao; Sergei, Pereverzyev; Eva, Sincich (2008) Natural liearization for corrosion identification., ICIPE proceedings In Reihe: ICIPE proceedings: IOP.RIS ENW BIB
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Shuai Lu, Sergei V. Pereverzyev (2008) Sparsity reconstruction by means of the standard Tikhonov regularization. In: Bonnet, Marc (Hrsg.) (6TH INTERNATIONAL CONFERENCE ON INVERSE PROBLEMS IN ENGINEERING: THEORY AND PRACTICE); Paris: IOP Publishing Limited, S. 012066.Download RIS ENW BIB
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S. Lu, S.V.Pereveryzev (2008) Sparsity reconstruction by means of the standard Tikhonov regularization. (6th International Conference on Inverse Problems in Engineering: Theory and Practice ICIPE (Dourdan, 15.06.2008)).RIS ENW BIB
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Galyna Kriukova, Nadiya Shvai, Sergei V. Pereverzyev Application of Regularized Ranking and Collaborative Filtering in Predictive Alarm Algorithm for Nocturnal Hypoglycemia Prevention. (The 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications); Romania.RIS ENW BIB
Konferenzbeitrag: Poster (in Proceedingsband) (2)
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Naumova, Valeriya; Pereverzyev, Sergei V. (2013) Data-Driven and Problem-Oriented Multiple-Kernel Learning (Poster). International Workshop on advances in Regulariza- tion, Optimization, Kernel Methods and Support Vector Machines: theory and applications.
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S. Sivananthan, V. Naumova, C. Dalla Man, A. Facchinetti, E. Renard, C. Cobelli, S. V. Pereverzev (2011) Assessment of blood glucose predictors: the Prediction-Error Grid Analysis (PRED-EGA) (Poster). The 4th International Conference on Advanced Technologies & Treatments in Diabetes.RIS ENW BIB
Beitrag in Sammelwerk (3)
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Sergei V. Pereverzyev, Evgeniya V. Semenova and Pavlo Tkachenko (2019) Regularized Quadrature Methods for Fredholm Integral Equations of the First Kind. In: Josef Dick, Frances Y. Kuo, Henryk Wozniakowski (Hrsg.), Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan: Springer.
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Sergei V. Pereverzyev, Evgeniya Semenova and Pavlo Tkachenko (2018) Regularized Quadrature Methods for Fredholm Integral Equations of the First Kind. In: Josef Dick, Frances Y. Kuo, Henryk Wozniakowski (Hrsg.), Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan: Springer.DOI RIS ENW BIB
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Pereverzyev, Hui Cao and Sergei (2010) Regularization of naturally linearized parameter identification problems and the application of the balancing principle. In: Yanfei Wang, Anatoly G. Yagola and Changchun Yang (Hrsg.), Optimization and regularization for computational inverse problems and applications: Springer, S. 65-106.Download RIS ENW BIB
Herausgeberschaft (2)
Forschungsbericht (23)
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Nguyen, Duc Hoan; Zellinger, Werner; Pereverzyev, Sergei V. (2023) On regularized Radon-Nikodym differentiation. Bericht-Nr. 2023-13; RICAM:.RIS ENW BIB
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Kriukova, Galyna; Panasiuk, Oleksandra; Pereverzyev, Sergei V.; Tkachenko, Pavlo (2015) A Linear Functional Strategy for Regularized Ranking. Bericht-Nr. 2015-13; RICAM: Linz.
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Kriukova, Galyna; Pereverzyev, Sergei V.; Tkachenko, Pavlo (2014) On the convergence rate and some applications of regularized ranking algorithms. Bericht-Nr. 2014-21; RICAM: Linz.
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Cao, Hui; Pereverzyev, Sergei; Sloan, Ian H.; Tkachenko, Pavlo (2014) Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions. Bericht-Nr. 2014-17; RICAM: Linz.
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Pereverzyev, Sergiy V.; Tkachenko, Pavlo (2014) Approximation of the solution of an ill-posed spherical pseudo-differential equation at a given point. RICAM: Linz.
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Pereverzyev, Sergei V.; Sloan, Ian H.; Tkachenko, Pavlo (2014) Parameter choice strategies for least-squares approximation of noisy smooth functions on the sphere. Bericht-Nr. 2014-04; RICAM: Linz.
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Naumova, Valeriya; Pereverzyev, Sergei V.; Tkachenko, Pavlo (2013, online: 2013) Regularized collocation for Spherical harmonics Gravitational Field Modeling. Bericht-Nr. 2013-12; RICAM: Linz.
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Fornasier, Massimo; Naumova, Valeriya; Pereverzyev, Sergei (2013) Parameter Choice Strategies for Multi-Penalty Regularization. Bericht-Nr. RICAM Report No 2013-10; RICAM: Linz.
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Mhaskar, Hrushikesh; Naumova, Valeriya; Pereverzyev, Sergei V. (2013) Filtered Legendre Expansion Method for Numerical Differentiation at the Boundary Point with Application to Blood Glucose Predictions. Bericht-Nr. 2013-07; RICAM: Linz.Download RIS ENW BIB
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Naumova, Valeriya; Pereverzyev, Sergei (2013) Multi-Penalty Regularization with a Component-Wise Penalization. Bericht-Nr. 2013-03; RICAM: Linz.Download RIS ENW BIB
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Keller, Alexander; Kuo, Frances; Neuenkirch, Andreas; Traub, Joseph F. (2013) Algorithms and Complexity for Continuous Problems (Dagstuhl Seminar 12391). Bericht-Nr. 2(9) 2013; Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik: Dagstuhl, Germany.
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Naumova, V.; Pereverzyev, S.; Sampath, S. (2012) A Meta-Learning Approach to the Adaptive Regularization – Case Study: Blood Glucose Prediction. Bericht-Nr. 51/2012; Mathematisches Forschungsinstitut Oberwolfach: Oberwolfach.
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Naumova, V.; Pereverzyev, S.; Sampath, S. (2012) Regularization in Variable RKHSs with application to the Blood Glucose Reading. Bericht-Nr. 51/2012; Mathematisches Forschungsinstitut Oberwolfach: Oberwolfach.
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Pereverzyev, S. V.; Naumova, V.; Sampath, S. (2012) Learning in Variable RKHSs with application to the Blood Glucose Reading. Bericht-Nr. 31/2012; Oberwolfach.
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Lu, S.; Naumova, V.; Pereverzyev, S.V. (2012) Numerical differentiation by means of Legendre polynomials in the presence of square summable noise. Bericht-Nr. 2012-15; Linz.Download RIS ENW BIB
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Naumova, V.; Pereverzyev, S.; Sampath, S. (2011, online: 2012) A Meta-Learning Approach to the Regularized Learning -- Case Study: Blood Glucose Prediction. Bericht-Nr. 2011-31; Linz.Website RIS ENW BIB
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Naumova, Valeriya; Pereverzyev, Sergei; Sampath, Sivananthan (2011) Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology. Bericht-Nr. 2011-18;.Download RIS ENW BIB
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Naumova, Valeriya; Pereverzev, Sergei; Sampath, Sivananthan (2011) Extrapolation in variable RKHSs with application to the BG reading. Bericht-Nr. 2011-04; RICAM:.Download RIS ENW BIB
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Lu, Shuai; Pereverzyev, Sergei V; Shao, Yuanyuan; Tautenhahn, Ulrich (2010) On the generalized discrepancy principle for Tikhonov regularization in Hilbert scales. Bericht-Nr. 2009-19;.Download RIS ENW BIB
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Heng, Yi; Lu, Shuai; Mhamdi, Adel; Pereverzyev, Sergei V. (2009) Model function approach in the modified L-curve method for the choice of regularization parameter. Bericht-Nr. 2009-08;.Download RIS ENW BIB
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Lu, Shuai; Pereverzyev, Sergei V (2009) Multi-parameter regularization and its numerical realization. Bericht-Nr. 2009-11;.Download RIS ENW BIB
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Shuai Lu, Sergei V. Pereverzyev (2008) Sparsity reconstruction by the standard Tikhonov method. Bericht-Nr. 2008-17;.Download RIS ENW BIB
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Shuai Lu, Sergei V. Pereverzyev, Ulrich Tautenhahn (2008) A model function method in total least squares. Bericht-Nr. 2008-18;.Download RIS ENW BIB
Sonstige Publikationen (1)
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Randlov, J.; Mckennoch, S.; Pereverzyev, S. V.; Sampath, S. (2012) GLUCOSE PREDICTOR BASED ON REGULARIZATION NETWORKS WITH ADAPTIVELY CHOSEN KERNELS AND REGULARIZATION PARAMETERS. World Intellectual Property Organization, Bd. WO 2012/143505 A2.Download RIS ENW BIB