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Found 1,144 Documents (Results 1–100)

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Segal, Rebecca (ed.) et al., Using mathematics to understand biological complexity. From cells to populations. Selected papers of the collaborative workshop for woman in mathematical biology, University of California, Los Angeles, CA, USA, June 17–21, 2019. Cham: Springer (ISBN 978-3-030-57128-3/hbk; 978-3-030-57129-0/ebook). Association for Women in Mathematics Series 22, 179-216 (2021).
MSC:  92C50 92C42 68Q80
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Wiley Series in Statistics in Practice. Hoboken, NJ: John Wiley & Sons (ISBN 978-1-119-24522-3/hbk; 978-1-119-24543-8/ebook). xli, 1206 p. (2021).
MSC:  62P99 62-01
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Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 1943-1968 (2021).
MSC:  91G45 60J74 62P05
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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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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).
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Srinivasa, K. G. (ed.) et al., Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications. Singapore: Springer (ISBN 978-981-15-2444-8/hbk; 978-981-15-2447-9/pbk; 978-981-15-2445-5/ebook). Algorithms for Intelligent Systems, 135-149 (2020).
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Tuffin, Bruno (ed.) et al., Monte Carlo and quasi-Monte Carlo methods. MCQMC 2018. Proceedings of the 13th international conference on Monte Carlo and quasi-Monte Carlo methods in scientific computing, Rennes, France, July 1–6, 2018. Cham: Springer (ISBN 978-3-030-43464-9/hbk; 978-3-030-43465-6/ebook). Springer Proceedings in Mathematics & Statistics 324, 107-123 (2020).
MSC:  65C05
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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, 210-218 (2020).
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EAI/Springer Innovations in Communication and Computing. Cham: Springer (ISBN 978-3-030-16843-8/hbk; 978-3-030-16846-9/pbk; 978-3-030-16844-5/ebook). vii, 110 p. (2020).
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Catania, Barbara (ed.) et al., SOFSEM 2019: theory and practice of computer science. 45th international conference on current trends in theory and practice of computer science, Nový Smokovec, Slovakia, January 27–30, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11376, 179-191 (2019).
MSC:  68Q27 62H22 68W20
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Li, Quan-Lin (ed.) et al., Stochastic models in reliability, network security and system safety. Essays dedicated to Professor Jinhua Cao on the occasion of his 80th birthday. Singapore: Springer (ISBN 978-981-15-0863-9/pbk; 978-981-15-0864-6/ebook). Communications in Computer and Information Science 1102, 199-228 (2019).
MSC:  68Mxx
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Ben Amor, Nahla (ed.) et al., Scalable uncertainty management. 13th international conference, SUM 2019, Compiègne, France, December 16–18, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11940, 38-51 (2019).
MSC:  68T37
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Kern-Isberner, Gabriele (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 15th European conference, ECSQARU 2019, Belgrade, Serbia, September 18–20, 2019. Proceedings. Cham: Springer (ISBN 978-3-030-29764-0/pbk; 978-3-030-29765-7/ebook). Lecture Notes in Computer Science 11726. Lecture Notes in Artificial Intelligence, 432-443 (2019).
MSC:  68T37
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Kern-Isberner, Gabriele (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 15th European conference, ECSQARU 2019, Belgrade, Serbia, September 18–20, 2019. Proceedings. Cham: Springer (ISBN 978-3-030-29764-0/pbk; 978-3-030-29765-7/ebook). Lecture Notes in Computer Science 11726. Lecture Notes in Artificial Intelligence, 99-110 (2019).
MSC:  68T37
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Walrand, Jean (ed.) et al., Network games, control, and optimization. Proceedings of NETGCOOP 2018, New York, NY, USA, November 14–16, 2018. Cham: Birkhäuser. Static Dyn. Game Theory: Found. Appl., 37-54 (2019).
MSC:  91B26 90B18
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Cambridge: Cambridge University Press (ISBN 978-1-108-48053-6/hbk; 978-1-108-72770-9/pbk; 978-1-108-63534-9/ebook). xv, 457 p. (2019).
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Synthesis Lectures on Artificial Intelligence and Machine Learning 41. San Rafael, CA: Morgan & Claypool Publishers (ISBN 978-1-6817-3490-3/pbk; 978-1-6817-3492-7/hbk; 978-1-6817-3491-0/ebook). xiv, 185 p. (2019).
MSC:  68-02 62-09 62H30 68T05 68T10 68T30
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Methods in Molecular Biology 1883. New York, NY: Humana Press (ISBN 978-1-4939-8881-5/hbk; 978-1-4939-8882-2/ebook). xi, 430 p. (2019).
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