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Found 955 Documents (Results 1–100)

Surrogate-based modeling and design optimization techniques for signal integrity in high-performance computer platforms. (English) Zbl 07733184

Koziel, Slawomir (ed.) et al., Surrogate modeling for high-frequency design. Recent advances. Singapore: World Scientific. 153-211 (2022).
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A short-term wind power forecasting method based on hybrid-kernel least-squares support vector machine. (English) Zbl 07617271

Wu, Min (ed.) et al., Developments in advanced control and intelligent automation for complex systems. Cham: Springer. Stud. Syst. Decis. Control 329, 395-411 (2021).
MSC:  62-XX
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Machine learning with quantum computers. 2nd edition, originally published under the title Supervised learning with quantum computers. (English) Zbl 1473.81010

Quantum Science and Technology. Cham: Springer (ISBN 978-3-030-83097-7/hbk; 978-3-030-83100-4/pbk; 978-3-030-83098-4/ebook). xiv, 312 p. (2021).
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An introduction to statistical learning. With applications in R. 2nd edition. (English) Zbl 1469.62002

Springer Texts in Statistics. New York, NY: Springer (ISBN 978-1-0716-1417-4/hbk; 978-1-0716-1420-4/pbk; 978-1-0716-1418-1/ebook). xv, 607 p. (2021).
MSC:  62-01 62C99 68T05
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Data mining applications in accounting and finance context. (English) Zbl 1452.91322

Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 823-857 (2021).
MSC:  91G45 62P05 62R07
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Support vector machines based methodology for credit risk analysis. (English) Zbl 1454.91330

Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 791-822 (2021).
MSC:  91G40 62P05 68T05
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Semi-supervised data mining tool design with self-tuning optimization techniques. (English) Zbl 07627217

Gusikhin, Oleg (ed.) et al., Informatics in control, automation and robotics. 14th international conference, ICINCO 2017 Madrid, Spain, July 26–28, 2017 Revised selected papers. Cham: Springer. Lect. Notes Electr. Eng. 495, 87-105 (2020).
MSC:  68-XX
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A comparative study on machine learning techniques for intense convective rainfall events forecasting. (English) Zbl 07617305

Valenzuela, Olga (ed.) et al., Theory and applications of time series analysis. Selected contributions from the sixth international conference, ITISE 2019, Granada, Spain, September 2019. Cham: Springer. Contrib. Stat., 305-317 (2020).
MSC:  62M10
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Applying an approximation of the Anderson discriminant function and support vector machines for solving some classification tasks. (English. Russian original) Zbl 1457.62205

Autom. Remote Control 81, No. 1, 118-129 (2020); translation from Avtom. Telemekh. 2020, No. 1, 159-172 (2020).
MSC:  62H30 68T05
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Deriving probabilistic SVM kernels from exponential family approximations to multivariate distributions for count data. (English) Zbl 1434.62091

Bouguila, Nizar (ed.) et al., Mixture models and applications. Cham: Springer. Unsuperv. Semi-Superv. Learn., 125-153 (2020).
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Robust forecasting of multiple yield curves. (English) Zbl 1434.62203

Valenzuela, Olga (ed.) et al., Theory and applications of time series analysis. Selected contributions from the international conference on time series and forecasting, ITISE 2018, Granada, Spain, September 19–21, 2018. Cham: Springer. Contrib. Stat., 187-202 (2019).
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NIL: learning nonlinear interpolants. (English) Zbl 07178976

Fontaine, Pascal (ed.), Automated deduction – CADE 27. 27th international conference on automated deduction, Natal, Brazil, August 27–30, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11716, 178-196 (2019).
MSC:  03B35 68V15
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Machine learning using R. With time series and industry-based use cases in R. 2nd edition. (English) Zbl 1423.68007

New York, NY: Apress (ISBN 978-1-4842-4214-8/pbk; 978-1-4842-4215-5/ebook). xxiv, 700 p. (2019).
MSC:  68-01 68-02 68T05
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Generalized Mercer kernels and reproducing kernel Banach spaces. (English) Zbl 1455.68009

Memoirs of the American Mathematical Society 1243. Providence, RI: American Mathematical Society (AMS) (ISBN 978-1-4704-3550-9/pbk; 978-1-4704-5077-9/ebook). vi, 122 p. (2019).
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