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Found 955 Documents (Results 1–100)

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Rangel-Patiño, Francisco E.; Rayas-Sánchez, José E.

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).
MSC:  78A40 78A50 78A55 78M32 62F15
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\textit{F. E. Rangel-Patiño} and \textit{J. E. Rayas-Sánchez}, in: Surrogate modeling for high-frequency design. Recent advances. Singapore: World Scientific. 153--211 (2022; Zbl 07733184)
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Ding, Min; Wu, Min; Yokoyama, Ryuichi; Nakanishi, Yosuke; Zhou, Yicheng

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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\textit{M. Ding} et al., Stud. Syst. Decis. Control 329, 395--411 (2021; Zbl 07617271)
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Schuld, Maria; Petruccione, Francesco

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).
MSC:  81-02 81P68 68Q12 68T05 82C32
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\textit{M. Schuld} and \textit{F. Petruccione}, Machine learning with quantum computers. 2nd edition, originally published under the title Supervised learning with quantum computers. Cham: Springer (2021; Zbl 1473.81010)
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James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert

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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\textit{G. James} et al., An introduction to statistical learning. With applications in R. 2nd edition. New York, NY: Springer (2021; Zbl 1469.62002)
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Kwak, Wikil; Shi, Yong; Lee, Cheng Few

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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\textit{W. Kwak} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 823--857 (2021; Zbl 1452.91322)
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Li, Jianping; Liu, Mingxi; Lee, Cheng Few; Wu, Dengsheng

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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\textit{J. Li} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 791--822 (2021; Zbl 1454.91330)
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Akhmedova, Shakhnaz; Semenkina, Maria; Stanovov, Vladimir; Semenkin, Eugene

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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\textit{S. Akhmedova} et al., Lect. Notes Electr. Eng. 495, 87--105 (2020; Zbl 07627217)
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Sangiorgio, Matteo; Barindelli, Stefano; Guglieri, Valerio; Biondi, Riccardo; Solazzo, Enrico; Realini, Eugenio; Venuti, Giovanna; Guariso, Giorgio

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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\textit{M. Sangiorgio} et al., in: Theory and applications of time series analysis. Selected contributions from the sixth international conference, ITISE 2019, Granada, Spain, September 2019. Cham: Springer. 305--317 (2020; Zbl 07617305)
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Zenkov, V. V.

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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\textit{V. V. Zenkov}, Autom. Remote Control 81, No. 1, 118--129 (2020; Zbl 1457.62205); translation from Avtom. Telemekh. 2020, No. 1, 159--172 (2020)
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Zamzami, Nuha; Bouguila, Nizar

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).
MSC:  62H10 62H30 68T05 62B10 62P30
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\textit{N. Zamzami} and \textit{N. Bouguila}, in: Mixture models and applications. Cham: Springer. 125--153 (2020; Zbl 1434.62091)
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Gerhart, Christoph; Lütkebohmert, Eva; Weber, Marc

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).
MSC:  62M20 62G35 62P05 62M45 68T05 91B84
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\textit{C. Gerhart} et al., in: 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. 187--202 (2019; Zbl 1434.62203)
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Chen, Mingshuai; Wang, Jian; An, Jie; Zhan, Bohua; Kapur, Deepak; Zhan, Naijun

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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\textit{M. Chen} et al., Lect. Notes Comput. Sci. 11716, 178--196 (2019; Zbl 07178976)
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Ramasubramanian, Karthik; Singh, Abhishek

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).
Reviewer: Irina Ioana Mohorianu (Oxford)
MSC:  68-01 68-02 68T05
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\textit{K. Ramasubramanian} and \textit{A. Singh}, Machine learning using R. With time series and industry-based use cases in R. 2nd edition. New York, NY: Apress (2019; Zbl 1423.68007)
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Xu, Yuesheng; Ye, Qi

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).
Reviewer: Martin D. Buhmann (Gießen)
MSC:  68-02 46-02 65-02 46E22 65Dxx 68T05
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\textit{Y. Xu} and \textit{Q. Ye}, Generalized Mercer kernels and reproducing kernel Banach spaces. Providence, RI: American Mathematical Society (AMS) (2019; Zbl 1455.68009)
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