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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 215 pages. 9.25x6.10x0.51 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, 2022
ISBN 10: 3031212215 ISBN 13: 9783031212215
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,54
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 5th International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th International Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022.The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methodstechniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabledautonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine learning components.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Software Verification and Formal Methods for ML-Enabled Autonomous Systems | 5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022, Proceedings | Omri Isac (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2022 | Springer | EAN 9783031212215 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Springer International Publishing Dez 2022, 2022
ISBN 10: 3031212215 ISBN 13: 9783031212215
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 5th International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th International Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022.The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methodstechniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabledautonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine learning components. 216 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: Springer International Publishing, 2022
ISBN 10: 3031212215 ISBN 13: 9783031212215
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 5th International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th International Workshop on Numerical Software Verification, NSV 2022, wh.
Lingua: Inglese
Editore: Springer, Springer Dez 2022, 2022
ISBN 10: 3031212215 ISBN 13: 9783031212215
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -FoMLAS 2022.- VPN: Verification of Poisoning in Neural Networks.- A Cascade of Checkers for Run-time Certification of Local Robustness.- CEG4N: Counter-Example Guided Neural Network Quantization Refinement .- Minimal Multi-Layer Modifications of Deep Neural Networks.- Differentiable Logics for Neural Network Training and Verification.- Neural Networks in Imandra: Matrix Representation as a Verification Choice.- Self-Correcting Neural Networks For Safe Classification.- Self-Correcting Neural Networks For Safe Classification.- NSV 2022.- Verified Numerical Methods for Ordinary Differential Equations.- Neural Network Precision Tuning Using Stochastic Arithmetic.- MLTL Multi-type (MLTLM): A Logic for Reasoning about Signals of Different Types.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.