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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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Koul, Nimrita; Manvi, Sunilkumar S.
Computational methods for inference of gene regulatory networks from gene expression data. (English) Zbl 07327375
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).
MSC:  92C40 92C42 68T05 92-08
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\textit{N. Koul} and \textit{S. S. Manvi}, in: Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications. Singapore: Springer. 135--149 (2020; Zbl 07327375)
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Nachbar, John
Learning in games. (English) Zbl 1455.91051
Sotomayor, Marilda (ed.) et al., Complex social and behavioral systems. Game theory and agent-based models. New York, NY: Springer. Encycl. Complex. Syst. Sci. Ser., 485-498 (2020).
MSC:  91A26 91A20
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\textit{J. Nachbar}, in: Complex social and behavioral systems. Game theory and agent-based models. New York, NY: Springer. 485--498 (2020; Zbl 1455.91051)
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Sallam, Omar; El-Refaey, Adel M.; Guaily, Amr
Water-aluminum oxide nano-fluid Nusselt number enhancement and neural network accelerated prediction. (English) Zbl 1454.76102
Farouk, Mohamed Hesham (ed.) et al., Recent advances in engineering math and physics. Proceedings of the international conference, RAEMP 2019, Cairo, Egypt, December 24–26, 2019. Cham: Springer. 343-359 (2020).
MSC:  76T20 76M10 76M99 80A19 68T05
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\textit{O. Sallam} et al., in: Recent advances in engineering math and physics. Proceedings of the international conference, RAEMP 2019, Cairo, Egypt, December 24--26, 2019. Cham: Springer. 343--359 (2020; Zbl 1454.76102)
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Todorov, Venelin; Dimov, Ivan
Efficient stochastic approaches for multidimensional integrals in Bayesian statistics. (English) Zbl 07223057
Lirkov, Ivan (ed.) et al., Large-scale scientific computing. 12th international conference, LSSC 2019, Sozopol, Bulgaria, June 10–14, 2019. Revised selected papers. Cham: Springer (ISBN 978-3-030-41031-5/pbk; 978-3-030-41032-2/ebook). Lecture Notes in Computer Science 11958, 454-462 (2020).
MSC:  65
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\textit{V. Todorov} and \textit{I. Dimov}, Lect. Notes Comput. Sci. 11958, 454--462 (2020; Zbl 07223057)
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Maeda, Iwao; Matsushima, Hiroyasu; Sakaji, Hiroki; Izumi, Kiyoshi; Degraw, David; Tomioka, Hirokazu; et al.
Learning uncertainty in market trend forecast using Bayesian neural networks. (English) Zbl 1447.91170
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).
MSC:  91G15 62P05 62M20 91-08
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\textit{I. Maeda} et al., Adv. Intell. Syst. Comput. 1009, 210--218 (2020; Zbl 1447.91170)
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Das, Monidipa; Ghosh, Soumya K.
Enhanced Bayesian network models for spatial time series prediction. Recent research trend in data-driven predictive analytics. (English) Zbl 1445.62001
Studies in Computational Intelligence 858. Cham: Springer (ISBN 978-3-030-27748-2/hbk; 978-3-030-27749-9/ebook). xxiii, 149 p. (2020).
Reviewer: Jonas Šiaulys (Vilnius)
MSC:  62-02 62M10 62M20 62C10 62F15 91B72 62A86 68T05 62H22
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\textit{M. Das} and \textit{S. K. Ghosh}, Enhanced Bayesian network models for spatial time series prediction. Recent research trend in data-driven predictive analytics. Cham: Springer (2020; Zbl 1445.62001)
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