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Found 2,358 Documents (Results 1–100)

Graph summarization with latent variable probabilistic models. (English) Zbl 07616732

Benito, Rosa Maria (ed.) et al., Complex networks & their applications X. Volume 2. Proceedings of the 10th international conference, COMPLEX NETWORKS 2021, Madrid, Spain, November 30 – December 2, 2021. Cham: Springer. Stud. Comput. Intell. 1016, 428-440 (2022).
MSC:  68-XX
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FOLD-R++: a scalable toolset for automated inductive learning of default theories from mixed data. (English) Zbl 07570123

Hanus, Michael (ed.) et al., Functional and logic programming. 16th international symposium, FLOPS 2022, Kyoto, Japan, May 10–12, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13215, 224-242 (2022).
MSC:  68N17 68N18
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COVID-19. Origin, detection and impact analysis using artificial intelligence computational techniques. (English) Zbl 1475.92004

Boca Raton, FL: CRC Press (ISBN 978-0-367-67466-3/hbk; 978-0-367-67468-7/pbk; 978-1-003-13141-0/ebook). xviii, 510 p. (2022).
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Are sequential patterns shareable? Ensuring individuals’ privacy. (English) Zbl 1495.68054

Torra, Vicenç (ed.) et al., Modeling decisions for artificial intelligence. 18th international conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12898, 28-39 (2021).
MSC:  68P27
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Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks. (English) Zbl 1495.68192

Ramanna, Sheela (ed.) et al., Rough sets. International joint conference, IJCRS 2021, Bratislava, Slovakia, September 19–24, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12872, 3-17 (2021).
MSC:  68T05 68T37
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MuLOT: multi-level optimization of the canonical polyadic tensor decomposition at large-scale. (English) Zbl 1495.68193

Bellatreche, Ladjel (ed.) et al., Advances in databases and information systems. 25th European conference, ADBIS 2021, Tartu, Estonia, August 24–26, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12843, 198-212 (2021).
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Concurrency and objects matter! Disentangling the fabric of real operational processes to create digital twins. (English) Zbl 07500634

Cerone, Antonio (ed.) et al., Theoretical aspects of computing – ICTAC 2021. 18th international colloquium, virtual event, Nur-Sultan, Kazakhstan, September 8–10, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12819, 3-17 (2021).
MSC:  68Qxx
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Towards a compact SAT-based encoding of itemset mining tasks. (English) Zbl 07493628

Stuckey, Peter J. (ed.), Integration of constraint programming, artificial intelligence, and operations research. 18th international conference, CPAIOR 2021, Vienna, Austria, July 5–8, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12735, 163-178 (2021).
MSC:  68T20 90C27
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Modern machine learning methods for telemetry-based spacecraft health monitoring. (English. Russian original) Zbl 07434172

Autom. Remote Control 82, No. 8, 1293-1320 (2021); translation from Avtom. Telemekh. 2021, No. 8, 3-38 (2021).
MSC:  68-XX 62-XX
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The method of construction of logical neural networks on the basis of variable-valued logical functions. (English. Russian original) Zbl 07315943

J. Math. Sci., New York 253, No. 4, 500-505 (2021); translation from Itogi Nauki Tekh., Ser. Sovrem. Mat. Prilozh., Temat. Obz. 154, 43-48 (2018).
MSC:  68T05
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Data clustering. Theory, algorithms, and applications. 2nd edition. (English) Zbl 1483.68001

Mathematics in Industry (Philadelphia) 5. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) (ISBN 978-1-61197-632-8/pbk; 978-1-61197-633-5/ebook). xxiii, 406 p. (2021).
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Mathematics of data science. A computational approach to clustering and classification. (English) Zbl 1471.68001

Data Science Book Series. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) (ISBN 978-1-61197-636-6/pbk). x, 189 p. (2021).
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A time-series bootstrapping simulation method to distinguish sell-side analysts’ skill from luck. (English) Zbl 1454.91236

Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 2011-2052 (2021).
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