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Found 1,236 Documents (Results 1–100)

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Deep learning in high dimension: ReLU neural network expression for Bayesian PDE inversion. (English) Zbl 07516522

Herzog, Roland (ed.) et al., Optimization and control for partial differential equations. Uncertainty quantification, open and closed-loop control, and shape optimization. Berlin: De Gruyter. Radon Ser. Comput. Appl. Math. 29, 419-462 (2022).
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Ensemble Kalman filter for neural network-based one-shot inversion. (English) Zbl 07516521

Herzog, Roland (ed.) et al., Optimization and control for partial differential equations. Uncertainty quantification, open and closed-loop control, and shape optimization. Berlin: De Gruyter. Radon Ser. Comput. Appl. Math. 29, 393-418 (2022).
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Weighted model counting without parameter variables. (English) Zbl 07495570

Li, Chu-Min (ed.) et al., Theory and applications of satisfiability testing – SAT 2021. 24th international conference, Barcelona, Spain, July 5–9, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12831, 134-151 (2021).
MSC:  68Q25 68R07 68T20
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Bayesian distillation of deep learning models. (English. Russian original) Zbl 07461105

Autom. Remote Control 82, No. 11, 1846-1856 (2021); translation from Avtom. Telemekh. 2021, No. 11, 16-29 (2021).
MSC:  68T07
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Cyber kittens, or some first steps towards categorical cybernetics. (English) Zbl 07454898

Spivak, David I. (ed.) et al., Proceedings of the 3rd annual international applied category theory conference 2020, ACT 2020, Cambridge, USA, July 6–10, 2020. Waterloo: Open Publishing Association (OPA). Electron. Proc. Theor. Comput. Sci. (EPTCS) 333, 108-124 (2021).
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Invertible neural networks versus MCMC for posterior reconstruction in grazing incidence X-ray fluorescence. (English) Zbl 07449757

Elmoataz, Abderrahim (ed.) et al., Scale space and variational methods in computer vision. 8th international conference, SSVM 2021, virtual event, May 16–20, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12679, 528-539 (2021).
MSC:  65D18 68T07
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Dynamic Bayesian networks as a testing tool for fuzzing web applications. (English. Russian original) Zbl 07384428

Comput. Math. Math. Phys. 61, No. 7, 1118-1128 (2021); translation from Zh. Vychisl. Mat. Mat. Fiz. 61, No. 7, 1125-1136 (2021).
MSC:  68-XX 62-XX
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Algebraic Bayesian networks: checking backbone connectivity. (English. Russian original) Zbl 1481.68038

Vestn. St. Petersbg. Univ., Math. 54, No. 2, 187-195 (2021); translation from Vestn. St-Peterbg. Univ., Ser. I, Mat. Mekh. Astron. 8(66), No. 2, 305-316 (2021).
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A framework for performing data-driven modeling of tumor growth with radiotherapy treatment. (English) Zbl 1460.92095

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. Assoc. Women Math. Ser. 22, 179-216 (2021).
MSC:  92C50 92C42 68Q80
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Sparse deep Gaussian process approximation and application of dynamic system identification. (English) Zbl 1460.62006

Mathematik. München: Dr. Hut; Stuttgart: Univ. Stuttgart (Diss. 2020) (ISBN 978-3-8439-4688-9/pbk). 253 p. (2021).
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Statistics and the evaluation of evidence for forensic scientists. 3rd updated edition. (English) Zbl 1456.62001

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:  62-01 62P99 62F15
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The jump behavior of a foreign exchange market: analysis of the Thai baht. (English) Zbl 1454.91337

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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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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Probabilistic graphical models. Principles and applications. 2nd updated edition. (English) Zbl 1453.68001

Advances in Computer Vision and Pattern Recognition. Cham: Springer (ISBN 978-3-030-61942-8/hbk; 978-3-030-61945-9/pbk; 978-3-030-61943-5/ebook). xxviii, 355 p. (2021).
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Computational methods for inference of gene regulatory networks from gene expression data. (English) Zbl 1460.92076

Srinivasa, K. G. (ed.) et al., Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications. Singapore: Springer. Algorithms Intell. Syst., 135-149 (2020).
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