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Found 1,327 Documents (Results 1–100)

A model for learning cause-effect relationships in Bayesian networks. (English) Zbl 07626494

Castillo, Oscar (ed.) et al., New perspectives on hybrid intelligent system design based on fuzzy logic, neural networks and metaheuristics. Cham: Springer. Stud. Comput. Intell. 1050, 395-417 (2022).
MSC:  68T05 62D20 62H22
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Indirect causal influence of a single bot on opinion dynamics through a simple recommendation algorithm. (English) Zbl 1507.91159

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, 28-41 (2022).
MSC:  91D30 68T05
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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).
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Ensemble Kalman filter for neural network-based one-shot inversion. (English) Zbl 1491.65120

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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Computational intelligence. A methodological introduction. With contributions from Frank Klawonn and Christian Moewes. 3rd edition. (English) Zbl 1500.68001

Texts in Computer Science. Cham: Springer (ISBN 978-3-030-42226-4/hbk; 978-3-030-42229-5/pbk; 978-3-030-42227-1/ebook). xiv, 639 p. (2022).
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Mathematics for reliability engineering. Modern concepts and applications. (English) Zbl 1498.90006

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences 8. Berlin: De Gruyter (ISBN 978-3-11-072556-8/hbk; 978-3-11-072559-9/ebook). xii, 260 p. (2022).
MSC:  90-06 90B25 00B15
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A new score for adaptive tests in Bayesian and credal networks. (English) Zbl 07542357

Vejnarová, Jiřina (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 16th European conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12897, 399-412 (2021).
MSC:  68T37
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Bayesian networks for the test score prediction: a case study on a math graduation exam. (English) Zbl 07542347

Vejnarová, Jiřina (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 16th European conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12897, 255-267 (2021).
MSC:  68T37
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Explainable AI using MAP-independence. (English) Zbl 07542346

Vejnarová, Jiřina (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 16th European conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12897, 243-254 (2021).
MSC:  68T37
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Persuasive contrastive explanations for Bayesian networks. (English) Zbl 07542345

Vejnarová, Jiřina (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 16th European conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12897, 229-242 (2021).
MSC:  68T37
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Multi-task transfer learning for Bayesian network structures. (English) Zbl 07542344

Vejnarová, Jiřina (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 16th European conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12897, 217-228 (2021).
MSC:  68T37
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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 1491.68180

Autom. Remote Control 82, No. 11, 1846-1856 (2021); translation from Avtom. Telemekh. 2021, No. 11, 16-29 (2021).
MSC:  68T07 62F15
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Cyber kittens, or some first steps towards categorical cybernetics. (English) Zbl 1485.18025

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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