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Adaptive filter combinationsTrump, TõnuRecent advances in telecommunications and circuits : [proceedings of the 11th ELECTROSCIENCE'13, 2nd CSCCA'13, 1st SSC'13, 1st ANPRO'13 : Dubrovnik, Croatia, June 25-27, 2013]2013 / p. 12 : portr

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An output signal based combination of two NLMS adaptive algorithmsTrump, Tõnu16th International Conference on Digital Signal Processing : July 5-7, 2009, Santorini, Greece2009 / ? p https://ieeexplore.ieee.org/abstract/document/5201077

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Applications of a combination of two adaptive filtersTrump, TõnuAdaptive filtering - theories and applications2013 / p. 61-89 : ill

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An approximate solution to linear and quadratic programming problems by the method of least squaresÜbi, EvaldProceedings of the Estonian Academy of Sciences. Physics. Mathematics1998 / 1, p. 19-28

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Boosting customers’ impulsive buying tendency in live-streaming commerce: The role of customer engagement and deal pronenessLuo, Xi; Cheah, Jun-Hwa; Hollebeek, Linda Desiree; Lim, Xin-JeanJournal of retailing and consumer services2024 / art. 103644 https://doi.org/10.1016/j.jretconser.2023.103644

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Comparative analysis of proportionate least mean squares algorithms for sparse adaptive filteringButsenko, MaksimProceedings of the 8th Annual Conference of the Estonian National Doctoral School in Information and Communication Technologies : December 5-6, 2014, Rakvere2014 / p. 19-22 : ill

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Computationally efficient multi-task learning with least-squares probabilistic classifiersSimm, Jaak; Sugiyama, Masashi; Kato, TsuyoshiIPSJ transactions on computer vision and applications2011 / Feb., [8] p. : ill https://www.researchgate.net/publication/215704981_Computationally_Efficient_Multi-task_Learning_with_Least-Squares_Probabilistic_Classifiers

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Convergence of output signal based combination of two LMS adaptive filtersTrump, TõnuIEEE 26-th Convention of Electrical and Electronics Engineers in Israel (IEEEI 2010) : Nov. 17-20, 2010, Eilat2010 / p. 109-113 https://ieeexplore.ieee.org/document/5661910

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Finding non-negative solution of overdetermined or underdetermined system of linear equations by method of least squaresÜbi, EvaldTallinna Tehnikaülikooli Toimetised1994 / lk. 61-68

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Improving the accuracy of least-squares probabilistic classifiersYamada, Makoto; Sugiyama, Masashi; Wichern, Gordon; Simm, JaakIEICE technical reports2010 / p. 45-50 http://www.ms.k.u-tokyo.ac.jp/sugi/2011/LSPCnew.pdf

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Kuidas ökonoomsemalt lahendada lineaarse planeerimise ülesannet?Übi, EvaldAastaraamat 2012 / Eesti Matemaatika Selts2014 / lk. 32-41

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Linear inequalities via least squaresÜbi, EvaldProceedings of the Estonian Academy of Sciences2013 / p. 238-248 https://artiklid.elnet.ee/record=b2651803*est

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Multi-task learning with least-squares probabilistic classifiersSimm, Jaak; Sugiyama, Masashi; Kato, TsuyoshiIEICE technical reports2010 / p. 51-56 https://www.ieice.org/publications/ken/summary.php?contribution_id=KJ00006872689&society_cd=ISS&ken_id=PRMU&year=2010&presen_date=2010/8/29&schedule_id=AN10541106_110(187)&lang=en&expandable=3

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A neutral network based identification for complex non-linear systemsVaarmann, OtuProceedings of the 3rd International Conference on Applied Operational Research, 24-26 August 2011, Istanbul, Turkey2011 / p. 39-46

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On computing a stable least squares solution to the linear programming problemÜbi, EvaldProceedings of the Estonian Academy of Sciences. Physics. Mathematics1998 / p. 251-259 https://www.ester.ee/record=b1072098*est

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On solving nonlinear least squares problemsVaarmann, Otu53rd Meeting of the European Working Group : Multicriteria Aid for Decisions : Athens, March 29-30 : abstracts2001 / p. 30

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On solving nonlinear least squares problemsVaarmann, OtuProceedings of the 53rd Meeting of the European Working Group : Multicriteria Aid for Decisions : Athens, March 29-302001 / [7] p

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On stable least squares solution to the system of linear inequalitiesÜbi, EvaldCentral European journal of mathematics2007 / 2, p. 373-385 https://link.springer.com/article/10.2478/s11533-007-0003-7

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On Tikhonov regularization for identifying memory kernels in heat conduction and viscoelasticityJanno, Jaan; Kiss, E.M.; Wolfersdorf, Lothar vonZeitschrift für angewandte Mathematik und Mechanik2000 / 4, p. 259-272 : ill https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291521-4001%28200004%2980%3A4%3C259%3A%3AAID-ZAMM259%3E3.0.CO%3B2-5

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Polynomial curve fitting by substitutionGorev, Maksim; Pesonen, Vadim; Ellervee, PeeterFPGAWorld'11 : the 8th Annual FPGAWorld Conference : Copenhagen, Stockholm, Munich, September 12-15, 20112011 / [4] p.: ill https://dl.acm.org/doi/pdf/10.1145/2157871.2157872

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Solution of nonlinear least squares problems by approximate Gauss-Newton methodsVaarmann, OtuInternational Conference : Modelling and Simulation of Business Systems : May 13-14, 2003, Vilnius, Lithuania2003 / p. 43-46

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Solving nonlinear stochastic programming problemsÜbi, Evald; Übi, Jaan5th International Conference on Optimal Research "Simulation and Optimization in Business and Industry" : May 17-20, 2006, Tallinn, Estonia : programme and abstracts2006 / p. 50

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Some iterative regularized methods for highly nonlinear least squares problemsKangro, Inga; Vaarmann, OtuMathematical modelling and analysis2009 / 2, p. 179-186 https://www.tandfonline.com/doi/abs/10.3846/1392-6292.2009.14.179-186

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Some stable iterative methods for nonlinear least squares problemsVaarmann, Otu55th Meeting of the European Working Group "Multicriteria Aid for Decisions : Nature in and off MCDA"2002 / p. 27

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Steady state analysis of an output signal based combination of two NLMS adaptive filtersTrump, Tõnu17th European Signal Processing Conference (EUSIPCO 2009) : 24-28 August 20092009 / p. 1720-1724 https://ieeexplore.ieee.org/document/7077570

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