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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1362906735
Titel Informed Machine Learning / edited by Daniel Schulz, Christian Bauckhage
Person(en) Schulz, Daniel (Herausgeber)
Bauckhage, Christian (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2025
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2025
Umfang/Format Online-Ressource, XIII, 339 p. 98 illus., 87 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-031-83096-9
Printed edition:: ISBN: 978-3-031-83098-3
Printed edition:: ISBN: 978-3-031-83099-0
Inhalt Preface -- 1. Introduction and Overview -- Part I. Digital Twins -- 2 Optimizing Cooling System Operations with Informed ML and a Digital Twin -- 3. AITwin - A Uniform Digital Twin Interface for Artificial Intelligence Applications -- Part II. Optimization -- 4. A Regression-based Predictive Model Hierarchy for Nonwoven Tensile Strength Inference -- 5. Machine Learning for Optimizing the Homogeneity of Spunbond Nonwovens -- 6. Bayesian Inference for Fatigue Strength Estimation -- 7. Incorporating Shape Knowledge into Regression Models -- Part III Neural Networks -- 8. Predicting Properties of Oxide Glasses Using Informed Neural Networks -- 9. Graph Neural Networks for Predicting Side Effects and New Indications of Drugs Using Electronic Health Records -- 10. On the Interplay of Subset Selection and Informed Graph Neural Networks -- 11. Informed Machine Learning Aspects for the Multi-Agent Neural Rewriter -- Part IV. Hybrid Methods -- 12. Training Support Vector Machines by Solving Differential Equations -- 13. Informed Machine Learning to Maximize Robustness and Computational Performance of Linear Solvers -- 14. Anomaly Detection in Multivariate Time Series Using Uncertainty Estimation
Persistent Identifier URN: urn:nbn:de:101:1-2504120430291.777566312479
DOI: 10.1007/978-3-031-83097-6
URL https://doi.org/10.1007/978-3-031-83097-6
ISBN/Einband/Preis 978-3-031-83097-6
Sprache(n) Englisch (eng)
Beziehungen Cognitive Technologies
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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