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Found 4,311 Documents (Results 1–100)

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Tang, H. S.; Li, L.; Grossberg, M.; Liu, Y. J.; Jia, Y. M.; Li, S. S.; Dong, W. B.
An exploratory study on machine learning to couple numerical solutions of partial differential equations. (English) Zbl 07323672
Commun. Nonlinear Sci. Numer. Simul. 97, Article ID 105729, 11 p. (2021).
Reviewer: Chandrasekhar Salimath (Bengaluru)
MSC:  65N55 65N06 68T07 35J05 35K20
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\textit{H. S. Tang} et al., Commun. Nonlinear Sci. Numer. Simul. 97, Article ID 105729, 11 p. (2021; Zbl 07323672)
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Gordon, Andrew D.; Russo, Claudio; Szymczak, Marcin; Borgström, Johannes; Rolland, Nicolas; Graepel, Thore; Tarlow, Daniel
Tabular: probabilistic inference from the spreadsheet. (English) Zbl 07311054
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 489-532 (2021).
MSC:  68N01
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\textit{A. D. Gordon} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 489--532 (2021; Zbl 07311054)
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Lampropoulos, Leonidas; Pierce, Benjamin C.; Xia, Li-yao; Gallois-Wong, Diane; Hriţcu, Cătălin; Hughes, John
Luck: a probabilistic language for testing. (English) Zbl 07311053
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 449-488 (2021).
MSC:  68N01
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\textit{L. Lampropoulos} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 449--488 (2021; Zbl 07311053)
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Gibbons, Jeremy; McIver, Annabelle; Morgan, Carroll; Schrijvers, Tom
Quantitative information flow with monads in Haskell. (English) Zbl 07311052
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 391-448 (2021).
MSC:  68N01
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\textit{J. Gibbons} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 391--448 (2021; Zbl 07311052)
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Trilla, José Manuel Calderón; Hicks, Michael; Magill, Stephen; Mardziel, Piotr; Sweet, Ian
Probabilistic abstract interpretation: sound inference and application to privacy. (English) Zbl 07311051
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 361-390 (2021).
MSC:  68N01
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\textit{J. M. C. Trilla} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 361--390 (2021; Zbl 07311051)
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Sankaranarayanan, Sriram
Quantitative analysis of programs with probabilities and concentration of measure inequalities. (English) Zbl 07311048
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 259-294 (2021).
MSC:  68N01
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\textit{S. Sankaranarayanan}, in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 259--294 (2021; Zbl 07311048)
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Chatterjee, Krishnendu; Fu, Hongfei; Novotný, Petr
Termination analysis of probabilistic programs with martingales. (English) Zbl 07311047
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 221-258 (2021).
MSC:  68N01
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\textit{K. Chatterjee} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 221--258 (2021; Zbl 07311047)
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Kaminski, Benjamin Lucien; Katoen, Joost-Pieter; Matheja, Christoph
Expected runtime analyis by program verification. (English) Zbl 07311046
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 185-220 (2021).
MSC:  68N01
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\textit{B. L. Kaminski} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 185--220 (2021; Zbl 07311046)
Full Text: DOI
Dal Lago, Ugo
On probabilistic \(\lambda\)-calculi. (English) Zbl 07311044
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 121-144 (2021).
MSC:  68N01
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\textit{U. Dal Lago}, in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 121--144 (2021; Zbl 07311044)
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Huang, Daniel; Morrisett, Greg; Spitters, Bas
An application of computable distributions to the semantics of probabilistic programs. (English) Zbl 07311043
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 75-120 (2021).
MSC:  68N01
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\textit{D. Huang} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 75--120 (2021; Zbl 07311043)
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Staton, Sam
Probabilistic programs as measures. (English) Zbl 07311042
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 43-74 (2021).
MSC:  68N01
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\textit{S. Staton}, in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 43--74 (2021; Zbl 07311042)
Full Text: DOI
Dahlqvist, Fredrik; Silva, Alexandra; Kozen, Dexter
Semantics of probabilistic programming: a gentle introduction. (English) Zbl 07311041
Barthe, Gilles (ed.) et al., Foundations of probabilistic programming. Cambridge: Cambridge University Press (ISBN 978-1-108-48851-8/hbk; 978-1-108-77075-0/ebook). 1-42 (2021).
MSC:  68N01
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\textit{F. Dahlqvist} et al., in: Foundations of probabilistic programming. Cambridge: Cambridge University Press. 1--42 (2021; Zbl 07311041)
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Kotwal, Adit; Bharti, Rishika; Pandya, Mansi; Jhaveri, Harshil; Mangrulkar, Ramchandra
Application of BAT algorithm for detecting malignant brain tumors. (English) Zbl 07310495
Dey, Nilanjan (ed.) et al., Applications of bat algorithm and its variants. Singapore: Springer (ISBN 978-981-15-5096-6/hbk; 978-981-15-5097-3/ebook). Springer Tracts in Nature-Inspired Computing, 119-132 (2021).
MSC:  92C55 90C59
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\textit{A. Kotwal} et al., in: Applications of bat algorithm and its variants. Singapore: Springer. 119--132 (2021; Zbl 07310495)
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Limbeck, Jan; Bisdom, Kevin; Lanz, Fabian; Park, Timothy; Barbaro, Eduardo; Bourne, Stephen; Kiraly, Franz; Bierman, Stijn; Harris, Chris; Nevenzeel, Keimpe; den Bezemer, Taco; van Elk, Jan
Using machine learning for model benchmarking and forecasting of depletion-induced seismicity in the Groningen gas field. (English) Zbl 1453.86029
Comput. Geosci. 25, No. 1, 529-551 (2021).
MSC:  86A15 86A32 68T05
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\textit{J. Limbeck} et al., Comput. Geosci. 25, No. 1, 529--551 (2021; Zbl 1453.86029)
Full Text: DOI
Tao, Linmi; Mughees, Atif
Deep learning for hyperspectral image analysis and classification. (English) Zbl 07303253
Engineering Applications of Computational Methods 5. Singapore: Springer (ISBN 978-981-334-419-8/hbk; 978-981-33-4422-8/pbk; 978-981-334-420-4/ebook). xii, 207 p. (2021).
MSC:  68-02 68T07 68T45 68U10 94A08
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\textit{L. Tao} and \textit{A. Mughees}, Deep learning for hyperspectral image analysis and classification. Singapore: Springer (2021; Zbl 07303253)
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Sun, Ting; Vasarhalyi, Miklos A.
Predicting credit card delinquencies: an application of deep neural networks. (English) Zbl 1454.91331
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4349-4381 (2021).
MSC:  91G40 68T07
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\textit{T. Sun} and \textit{M. A. Vasarhalyi}, in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4349--4381 (2021; Zbl 1454.91331)
Full Text: DOI
Hong, Ted; Lee, Daniel; Wang, Wenching
Algorithmic analyst (ALAN) – an application for artificial intelligence content as a service. (English) Zbl 1454.91250
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4075-4086 (2021).
MSC:  91G15 91G80 62P05 68T07
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\textit{T. Hong} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4075--4086 (2021; Zbl 1454.91250)
Full Text: DOI
Yu, T. Robert; Song, Xuehu
Big data and artificial intelligence in the banking industry. (English) Zbl 1454.91345
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4025-4041 (2021).
MSC:  91G45 62P05 62R07 68T05
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\textit{T. R. Yu} and \textit{X. Song}, in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4025--4041 (2021; Zbl 1454.91345)
Full Text: DOI
Teng, Huei-Wen; Lee, Michael
Estimation procedures of using five alternative machine learning methods for predicting credit card default. (English) Zbl 1454.91332
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 3545-3572 (2021).
MSC:  91G40 91G80 68T05
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\textit{H.-W. Teng} and \textit{M. Lee}, in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 3545--3572 (2021; Zbl 1454.91332)
Full Text: DOI
Li, Jianping; Li, Gang; Sun, Dongxia; Lee, Cheng Few
Evolution strategy-based adaptive \(L_q\) penalty support vector machines with Gauss kernel for credit risk analysis. (English) Zbl 1454.91329
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 1675-1693 (2021).
MSC:  91G40 62P05 68T05
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\textit{J. Li} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 1675--1693 (2021; Zbl 1454.91329)
Full Text: DOI
Ghosh, Romila; Paul, Satyakama
Deep learning in population genetics: prediction and explanation of selection of a population. (English) Zbl 07324109
Chakraverty, Snehashish (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: John Wiley & Sons (ISBN 978-1-119-58550-3/hbk; 978-1-119-58564-0/ebook). 23-32 (2020).
MSC:  74 76 80
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\textit{R. Ghosh} and \textit{S. Paul}, in: Mathematical methods in interdisciplinary sciences. Hoboken, NJ: John Wiley \& Sons. 23--32 (2020; Zbl 07324109)
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El-Mhamdi, El-Mahdi; Guerraoui, Rachid; Guirguis, Arsany; Hoang, Lê Nguyên; Rouault, Sébastien
Genuinely distributed Byzantine machine learning. (English) Zbl 07323210
Cachin, Christian (ed.) et al., Proceedings of the 39th ACM symposium on principles of distributed computing, PODC ’20, virtual event, August 3–7, 2020. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-7582-5). 355-364 (2020).
MSC:  68M14 68W15
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\textit{E.-M. El-Mhamdi} et al., in: Proceedings of the 39th ACM symposium on principles of distributed computing, PODC '20, virtual event, August 3--7, 2020. New York, NY: Association for Computing Machinery (ACM). 355--364 (2020; Zbl 07323210)
Full Text: DOI
Sabahi-Kaviani, Zeynab; Ghassemi, Fatemeh; Alimadadi, Zahra
Combining machine and automata learning for network traffic classification. (English) Zbl 07316480
Barbosa, Luís Soares (ed.) et al., Topics in theoretical computer science. Third IFIP WG 1.8 international conference, TTCS 2020, Tehran, Iran, July 1–2, 2020. Proceedings. Cham: Springer (ISBN 978-3-030-57851-0/pbk; 978-3-030-57852-7/ebook). Lecture Notes in Computer Science 12281, 17-31 (2020).
MSC:  68Qxx 68R10 68U05
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\textit{Z. Sabahi-Kaviani} et al., Lect. Notes Comput. Sci. 12281, 17--31 (2020; Zbl 07316480)
Full Text: DOI
Usilin, S. A.; Arlazarov, V. V.; Rokhlin, N. S.; Rudyka, S. A.; Matveev, S. A.; Zatsarinnyy, A. A.
Training Viola-Jones detectors for 3D objects based on fully synthetic data for use in rescue missions with UAV. (English) Zbl 07312384
Vestn. Yuzhno-Ural. Gos. Univ., Ser. Mat. Model. Program. 13, No. 4, 94-106 (2020).
MSC:  68T10
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\textit{S. A. Usilin} et al., Vestn. Yuzhno-Ural. Gos. Univ., Ser. Mat. Model. Program. 13, No. 4, 94--106 (2020; Zbl 07312384)
Full Text: DOI MNR
Miolane, Nina; Guigui, Nicolas; Le Brigant, Alice; Mathe, Johan; Hou, Benjamin; Thanwerdas, Yann; Heyder, Stefan; Peltre, Olivier; Koep, Niklas; Zaatiti, Hadi; Hajri, Hatem; Cabanes, Yann; Gerald, Thomas; Chauchat, Paul; Shewmake, Christian; Brooks, Daniel; Kainz, Bernhard; Donnat, Claire; Holmes, Susan; Pennec, Xavier
Geomstats: a Python package for Riemannian geometry in machine learning. (English) Zbl 07307485
J. Mach. Learn. Res. 21, Paper No. 223, 9 p. (2020).
MSC:  68T05
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\textit{N. Miolane} et al., J. Mach. Learn. Res. 21, Paper No. 223, 9 p. (2020; Zbl 07307485)
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Derbentsev, Vasily; Matviychuk, Andriy; Soloviev, Vladimir N.
Forecasting of cryptocurrency prices using machine learning. (English) Zbl 07306698
Pichl, Lukáš (ed.) et al., Advanced studies of financial technologies and cryptocurrency markets. Springer: Singapore (ISBN 978-981-15-4497-2/hbk; 978-981-15-4498-9/ebook). 211-231 (2020).
MSC:  91G99 62P05 68T05
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\textit{V. Derbentsev} et al., in: Advanced studies of financial technologies and cryptocurrency markets. Springer: Singapore. 211--231 (2020; Zbl 07306698)
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Rafael-Patino, Jonathan; Yu, Thomas; Delvigne, Victor; Barakovic, Muhamed; Pizzolato, Marco; Girard, Gabriel; Jones, Derek K.; Canales-Rodríguez, Erick J.; Thiran, Jean-Philippe
DWI simulation-assisted machine learning models for microstructure estimation. (English) Zbl 07304442
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 125-134 (2020).
MSC:  92C55 92B20 68T05
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\textit{J. Rafael-Patino} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 125--134 (2020; Zbl 07304442)
Full Text: DOI
Schilling, Kurt G.; Rogers, Baxter; Anderson, Adam W.; Landman, Bennett A.
Current challenges and future directions in diffusion MRI: from model- to data-driven analysis. (English) Zbl 07304437
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 63-78 (2020).
MSC:  92C55 92B20 92-08
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\textit{K. G. Schilling} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 63--78 (2020; Zbl 07304437)
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