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Found 935 Documents (Results 1–100)

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Machine learning with quantum computers. 2nd edition of the book originally published with 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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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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A modification of solution optimization in support vector machine simplification for classification. (English) Zbl 1455.68188

Bhateja, Vikrant (ed.) et al., Information systems design and intelligent applications. Proceedings of fourth international conference INDIA 2017, Da Nang, Vietnam, June 15–17, 2017. Singapore: Springer. Adv. Intell. Syst. Comput. 627, 149-158 (2018).
MSC:  68T05 62H30 90C90
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