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Found 127 Documents (Results 1–100)

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Cole, Alex; Miller, Benjamin K.; Witte, Samuel J.; Cai, Maxwell X.; Grootes, Meiert W.; Nattino, Francesco; Weniger, Christoph

Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation. (English) Zbl 1507.83090

J. Cosmol. Astropart. Phys. 2022, No. 9, Paper No. 4, 38 p. (2022).
MSC:  83F05 62F10 62D05 62M45 60J22 65C05 83-10
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\textit{A. Cole} et al., J. Cosmol. Astropart. Phys. 2022, No. 9, Paper No. 4, 38 p. (2022; Zbl 1507.83090)
Full Text: DOI arXiv
Opschoor, Joost A. A.; Schwab, Christoph; Zech, Jakob

Deep learning in high dimension: ReLU neural network expression for Bayesian PDE inversion. (English) Zbl 1487.68200

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).
MSC:  68T07 35R30 62F15 62M45 65N21
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\textit{J. A. A. Opschoor} et al., Radon Ser. Comput. Appl. Math. 29, 419--462 (2022; Zbl 1487.68200)
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Kruse, Rudolf; Borgelt, Christian; Braune, Christian; Mostaghim, Sanaz; Steinbrecher, Matthias
[Klawonn, Frank; Moewes, Christian]

Computational intelligence. A methodological introduction. With contributions from Frank Klawonn and Christian Moewes. 2nd edition. (English) Zbl 1358.68003

Texts in Computer Science. London: Springer (ISBN 978-1-4471-7294-9/hbk; 978-1-4471-7296-3/ebook). xiii, 564 p. (2016).
MSC:  68-01 62C10 62M45 68T01 68T05 68T20 68T37 92B20
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\textit{R. Kruse} et al., Computational intelligence. A methodological introduction. With contributions from Frank Klawonn and Christian Moewes. 2nd edition. London: Springer (2016; Zbl 1358.68003)
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Ni, Yang; Marchetti, Giovanni M.; Baladandayuthapani, Veerabhadran; Stingo, Francesco C.

Bayesian approaches for large biological networks. (English) Zbl 1338.92016

Mitra, Riten (ed.) et al., Nonparametric Bayesian inference in biostatistics. Cham: Springer (ISBN 978-3-319-19517-9/hbk; 978-3-319-19518-6/ebook). Frontiers in Probability and the Statistical Sciences, 153-173 (2015).
MSC:  92B15 62F15 62C10 92C42
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\textit{Y. Ni} et al., in: Nonparametric Bayesian inference in biostatistics. Cham: Springer. 153--173 (2015; Zbl 1338.92016)
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Kolnogorov, Alexander V.

Finding minimax strategy and minimax risk for Bernoulli multi-armed bandit. (English) Zbl 1354.93043

Senichenkov, Yuri B. (ed.) et al., Recent advances in mathematical methods in applied sciences. Proceedings of the 2014 international conference on mathematical models and methods in applied sciences (MMMAS ’14) and the 2014 international conference on economics and applied statistics (EAS ’14), Saint Petersburg, Russia, September 23–25, 2014. St. Petersburg: St. Petersburg State University (ISBN 978-1-61804-251-4/pbk). Mathematics and Computers in Science and Engineering Series 32, 59-66 (2014).
MSC:  93B35 91A15 93E03
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\textit{A. V. Kolnogorov}, Math. Comput. Sci. Eng. Ser. 32, 59--66 (2014; Zbl 1354.93043)
Kolnogorov, Alexander V.

Robust normal two-armed bandit and parallel data processing. (English) Zbl 1354.93018

Senichenkov, Yuri B. (ed.) et al., Recent advances in mathematical methods in applied sciences. Proceedings of the 2014 international conference on mathematical models and methods in applied sciences (MMMAS ’14) and the 2014 international conference on economics and applied statistics (EAS ’14), Saint Petersburg, Russia, September 23–25, 2014. St. Petersburg: St. Petersburg State University (ISBN 978-1-61804-251-4/pbk). Mathematics and Computers in Science and Engineering Series 32, 32-40 (2014).
MSC:  93A15 93B35
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\textit{A. V. Kolnogorov}, Math. Comput. Sci. Eng. Ser. 32, 32--40 (2014; Zbl 1354.93018)
van der Heijden, Maarten; Hommersom, Arjen

Causal independence models for continuous time Bayesian networks. (English) Zbl 1450.62064

van der Gaag, Linda C. (ed.) et al., Probabilistic graphical models. 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17–19, 2014. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 8754, 503-518 (2014).
MSC:  62H22 62M45
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\textit{M. van der Heijden} and \textit{A. Hommersom}, Lect. Notes Comput. Sci. 8754, 503--518 (2014; Zbl 1450.62064)
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Mauá, Denis D.

Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. (English) Zbl 1450.62063

van der Gaag, Linda C. (ed.) et al., Probabilistic graphical models. 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17–19, 2014. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 8754, 318-333 (2014).
MSC:  62H22 62M45
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\textit{D. D. Mauá}, Lect. Notes Comput. Sci. 8754, 318--333 (2014; Zbl 1450.62063)
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Madsen, Anders L.; Jensen, Frank; Karlsen, Martin; Soendberg-Jeppesen, Nicolaj

Bayesian networks with function nodes. (English) Zbl 1450.62062

van der Gaag, Linda C. (ed.) et al., Probabilistic graphical models. 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17–19, 2014. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 8754, 286-301 (2014).
MSC:  62H22 62M45
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\textit{A. L. Madsen} et al., Lect. Notes Comput. Sci. 8754, 286--301 (2014; Zbl 1450.62062)
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Kruse, Rudolf; Borgelt, Christian; Klawonn, Frank; Moewes, Christian; Steinbrecher, Matthias; Held, Pascal

Computational intelligence. A methodological introduction. (English) Zbl 1283.68280

Texts in Computer Science. London: Springer (ISBN 978-1-4471-5012-1/hbk; 978-1-4471-5013-8/ebook). xi, 490 p. (2013).
Reviewer: Jana Köhler (Luzern)
MSC:  68-01 68T01 68T37 62C10 62M45 92B20
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\textit{R. Kruse} et al., Computational intelligence. A methodological introduction. London: Springer (2013; Zbl 1283.68280)
Full Text: DOI
Studený, Milan; Haws, David; Hemmecke, Raymond; Lindner, Silvia

Polyhedral approach to statistical learning graphical models. (English) Zbl 1341.62190

Hibi, Takayuki (ed.), Harmony of Gröbner bases and the modern industrial society. Proceedings of the second CREST-SBM international conference, Osaka, Japan, June 28 – July 2, 2010. Hackensack, NJ: World Scientific (ISBN 978-981-4383-45-5/hbk; 978-981-4452-94-6/ebook). 346-372 (2012).
MSC:  62H30 62M45 62F15 05C90 52B12
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\textit{M. Studený} et al., in: Harmony of Gröbner bases and the modern industrial society. Proceedings of the second CREST-SBM international conference, Osaka, Japan, June 28 -- July 2, 2010. Hackensack, NJ: World Scientific. 346--372 (2012; Zbl 1341.62190)
Full Text: DOI Link
Terent’yev, A. N.; Bidyuk, P. I.

Method of probabilistic inference from learning data in Bayesian networks. (English. Russian original) Zbl 1127.62026

Cybern. Syst. Anal. 43, No. 3, 391-396 (2007); translation from Kibern. Sist. Anal. 43, No. 3, 93-99 (2007).
MSC:  62F15 05C90 68T99 62M45 62C10
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\textit{A. N. Terent'yev} and \textit{P. I. Bidyuk}, Cybern. Syst. Anal. 43, No. 3, 391--396 (2007; Zbl 1127.62026); translation from Kibern. Sist. Anal. 43, No. 3, 93--99 (2007)
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Romero, Vanessa; Salmerón, Antonio

Multivariate imputation of qualitative missing data using Bayesian networks. (English) Zbl 1055.62079

López-Díaz, Miguel (ed.) et al., Soft methodology and random information systems. Collection of papers presented at the 2nd international conference on soft methods in probability and statistics (SMPS’2004), Oviedo, Spain, September 2–4, 2004. Berlin: Springer (ISBN 3-540-22264-2/pbk). Advances in Soft Computing, 605-612 (2004).
MSC:  62H99 62M45 62F15 65C60
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\textit{V. Romero} and \textit{A. Salmerón}, in: Soft methodology and random information systems. Collection of papers presented at the 2nd international conference on soft methods in probability and statistics (SMPS'2004), Oviedo, Spain, September 2--4, 2004. Berlin: Springer. 605--612 (2004; Zbl 1055.62079)

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