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Found 1,240 Documents (Results 1–100)

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Wu, Hulin (ed.); Yamal, Jose Miguel (ed.); Yaseen, Ashraf (ed.); Maroufy, Vahed (ed.)
Statistics and machine learning methods for EHR data. From data extraction to data analytics. (English) Zbl 07311500
Chapman & Hall/CRC Healthcare Informatics Series. Boca Raton, FL: CRC Press (ISBN 978-0-367-44239-2/hbk; 978-1-00-303000-3/ebook). 327 p. (2021).
MSC:  62-06 62P10 62R07 62B10 62H11 62D10 94A15 68T05 00B15
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\textit{H. Wu} (ed.) et al., Statistics and machine learning methods for EHR data. From data extraction to data analytics. Boca Raton, FL: CRC Press (2021; Zbl 07311500)
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Sucar, Luis Enrique
Probabilistic graphical models. Principles and applications. 2nd fully updated edition. (English) Zbl 1453.68001
Advances in Computer Vision and Pattern Recognition. Cham: Springer (ISBN 978-3-030-61942-8/hbk; 978-3-030-61943-5/ebook). xxviii, 355 p. (2021).
MSC:  68-01 62-01 60J20 62-04 62F15 62H22 62H30 68-04 68T05 68T07 68T37 90C40
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\textit{L. E. Sucar}, Probabilistic graphical models. Principles and applications. 2nd fully updated edition. Cham: Springer (2021; Zbl 1453.68001)
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Lee, Cheng Few (ed.); Lee, John C. (ed.)
Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. (English) Zbl 1446.91004
Hackensack, NJ: World Scientific (ISBN 978-981-12-0244-5/hbk; 978-981-12-0238-4/set; 978-981-12-0240-7/ebook). xli, 3517-4881 (2021).
MSC:  91-00 62-00 68-00 91G70 91G80 62P05 68T05 00B15
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\textit{C. F. Lee} (ed.) and \textit{J. C. Lee} (ed.), Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific (2021; Zbl 1446.91004)
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Lee, Cheng Few (ed.); Lee, John C. (ed.)
Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 3. (English) Zbl 1446.91003
Hackensack, NJ: World Scientific (ISBN 978-981-12-0243-8/hbk; 978-981-12-0238-4/set; 978-981-12-0240-7/ebook). xli, 2337-3516 (2021).
MSC:  91-00 62-00 68-00 91G70 91G80 62P05 68T05 00B15
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\textit{C. F. Lee} (ed.) and \textit{J. C. Lee} (ed.), Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 3. Hackensack, NJ: World Scientific (2021; Zbl 1446.91003)
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Lee, Cheng Few (ed.); Lee, John C. (ed.)
Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. (English) Zbl 1446.91002
Hackensack, NJ: World Scientific (ISBN 978-981-12-0242-1/hbk; 978-981-12-0238-4/set; 978-981-12-0240-7/ebook). xli, 1025-2335 (2021).
MSC:  91-00 62-00 68-00 91G70 91G80 62P05 68T05 00B15
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\textit{C. F. Lee} (ed.) and \textit{J. C. Lee} (ed.), Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific (2021; Zbl 1446.91002)
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Lee, Cheng Few (ed.); Lee, John C. (ed.)
Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. (English) Zbl 1446.91001
Hackensack, NJ: World Scientific (ISBN 978-981-12-0241-4/hbk; 978-981-12-0238-4/set; 978-981-12-0240-7/ebook). xli, 1024 p. (2021).
MSC:  91-00 62-00 68-00 91G70 91G80 62P05 68T05 00B15
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\textit{C. F. Lee} (ed.) and \textit{J. C. Lee} (ed.), Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific (2021; Zbl 1446.91001)
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Edmonds, Alexander; Nikolov, Aleksandar; Ullman, Jonathan
The power of factorization mechanisms in local and central differential privacy. (English) Zbl 07298259
Makarychev, Konstantin (ed.) et al., Proceedings of the 52nd annual ACM SIGACT symposium on theory of computing, STOC ’20, Chicago, IL, USA, June 22–26, 2020. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-6979-4). 425-438 (2020).
MSC:  68Qxx
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\textit{A. Edmonds} et al., in: Proceedings of the 52nd annual ACM SIGACT symposium on theory of computing, STOC '20, Chicago, IL, USA, June 22--26, 2020. New York, NY: Association for Computing Machinery (ACM). 425--438 (2020; Zbl 07298259)
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Denuit, Michel; Hainaut, Donatien; Trufin, Julien
Effective statistical learning methods for actuaries II. Tree-based methods and extensions. (English) Zbl 1451.62003
Springer Actuarial. Lecture Notes. Cham: Springer (ISBN 978-3-030-57555-7/pbk; 978-3-030-57556-4/ebook). x, 228 p. (2020).
MSC:  62-01 62P05 62J12 62M10 68T05 62H30 91-01 91G05
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\textit{M. Denuit} et al., Effective statistical learning methods for actuaries II. Tree-based methods and extensions. Cham: Springer (2020; Zbl 1451.62003)
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Auger, Pierre; Pironneau, Olivier
Parameter identification by statistical learning of a stochastic dynamical system modelling a fishery with price variation. (Identification de paramètre par apprentissage statistique dans un système dynamique modélisant un site de pêche à prix variable.) (English. French summary) Zbl 1448.93336
C. R., Math., Acad. Sci. Paris 358, No. 3, 245-253 (2020).
MSC:  93E12 93E20 91B76
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\textit{P. Auger} and \textit{O. Pironneau}, C. R., Math., Acad. Sci. Paris 358, No. 3, 245--253 (2020; Zbl 1448.93336)
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Li, Xinying; Zheng, Lihong
Consumers adoption behavior prediction through technology acceptance model and machine learning models. (English) Zbl 1444.62130
Rahman, Azizur (ed.), Statistics for data science and policy analysis. Proceedings of the applied statistics and policy analysis conference 2019, ASPAC2019, Wagga Wagga, Australia, September 5–6, 2019. Singapore: Springer. 333-346 (2020).
MSC:  62P15 62J12 62R07 62-08 68T05
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\textit{X. Li} and \textit{L. Zheng}, in: Statistics for data science and policy analysis. Proceedings of the applied statistics and policy analysis conference 2019, ASPAC2019, Wagga Wagga, Australia, September 5--6, 2019. Singapore: Springer. 333--346 (2020; Zbl 1444.62130)
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Barbiero, Pietro; Ciravegna, Gabriele; Cirrincione, Giansalvo; Tonda, Alberto; Squillero, Giovanni
Generating neural archetypes to instruct fast and interpretable decisions. (English) Zbl 1442.62766
Bucciarelli, Edgardo (ed.) et al., Decision economics: complexity of decisions and decisions for complexity. Papers based on the presentations at the international conference on decision economics, DECON 2019, Ávila, Spain, June 26–28, 2019. Cham: Springer. Adv. Intell. Syst. Comput. 1009, 45-52 (2020).
MSC:  62R07 62H30 62M45 62M20 62C25 68T05
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\textit{P. Barbiero} et al., Adv. Intell. Syst. Comput. 1009, 45--52 (2020; Zbl 1442.62766)
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Bertozzi, Andrea L.; Merkurjev, Ekaterina
Graph-based optimization approaches for machine learning, uncertainty quantification and networks. (English) Zbl 1446.65032
Kimmel, Ron (ed.) et al., Processing, analyzing and learning of images, shapes, and forms. Part 2. Amsterdam: Elsevier/North Holland. Handb. Numer. Anal. 20, 503-531 (2019).
MSC:  65K10 05C85 62H30 68U10 35R02 91D30 49M29 94C15
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\textit{A. L. Bertozzi} and \textit{E. Merkurjev}, Handb. Numer. Anal. 20, 503--531 (2019; Zbl 1446.65032)
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Franceschini, Chiara; Giardinà, Cristian
Stochastic duality and orthogonal polynomials. (English) Zbl 1446.82052
Sidoravicius, Vladas (ed.), Sojourns in probability theory and statistical physics. III. Interacting particle systems and random walks, a festschrift for Charles M. Newman. Singapore: Springer; Shanghai: NYU Shanghai. Springer Proc. Math. Stat. 300, 187-214 (2019).
MSC:  82C22 82C41 60J20 60J25
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\textit{C. Franceschini} and \textit{C. Giardinà}, Springer Proc. Math. Stat. 300, 187--214 (2019; Zbl 1446.82052)
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Larédo, Catherine; Viet Chi Tran
Statistical inference for epidemic processes in a homogeneous community. (English) Zbl 1447.92443
Britton, Tom (ed.) et al., Stochastic epidemic models with inference. Lectures given at the ICPAM/CIMPA school on “Stochastic models of epidemics”, Ziguinchor, Senegal, December 5–16, 2015. Cham: Springer. Lect. Notes Math. 2255, 325-472 (2019).
Reviewer: Yilun Shang (Newcastle)
MSC:  92D30 62P10 60J60 60J20
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\textit{C. Larédo} and \textit{Viet Chi Tran}, Lect. Notes Math. 2255, 325--472 (2019; Zbl 1447.92443)
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Luna, José Marcio; Gennatas, Efstathios D.; Ungar, Lyle H.; Eaton, Eric; Diffenderfer, Eric S.; Jensen, Shane T.; Simone, Ii Charles B.; Friedman, Jerome H.; Solberg, Timothy D.; Valdes, Gilmer
Building more accurate decision trees with the additive tree. (English) Zbl 1431.62264
Proc. Natl. Acad. Sci. USA 116, No. 40, 19887-19893 (2019).
MSC:  62H30 62C05 68T10 68T07
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\textit{J. M. Luna} et al., Proc. Natl. Acad. Sci. USA 116, No. 40, 19887--19893 (2019; Zbl 1431.62264)
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