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Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten Wegen Wartungsarbeiten ist vom 12. bis 14. Januar 2026 der Museumslesesaal, sowie vom 14. bis 16. Januar 2026 der Musiklesesaal geschlossen. // Due to maintenance work the museum reading room will be closed from 12 to 14 January 2026 and the music reading room from 14 to 16 January 2026.
 
 
 


Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

32691 - 32700 von 33405
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Artikel 32691 Unbinned multivariate observables for global SMEFT analyses from machine learning
Enthalten in Journal of high energy physics Bd. 2023, 6.3.2023, Nr. 3, date:3.2023: 1-66
Online Ressource
Artikel 32692 Unboxing machine learning models for concrete strength prediction using XAI
Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-20
Online Ressource
Artikel 32693 Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia
Enthalten in Iranian journal of science and technology / Transactions of civil engineering Bd. 48, 2.3.2024, Nr. 2, date:4.2024: 1029-1047
Online Ressource
Artikel 32694 Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study
Enthalten in Journal of Big Data Bd. 12, 17.4.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 32695 Uncertainty-aware estimation of population abundance using machine learning
Enthalten in Multimedia systems Bd. 22, 3.9.2015, Nr. 6, date:11.2016: 737-749
Online Ressource
Artikel 32696 Uncertainty-aware mixed-variable machine learning for materials design
Enthalten in Scientific reports Bd. 12, 17.11.2022, Nr. 1, date:12.2022: 1-13
Online Ressource
Artikel 32697 Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
Enthalten in International journal of concrete structures and materials Bd. 16, 7.12.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 32698 Uncertainty in machine learning feature importance for climate science: a comparative analysis of SHAP, PDP, and gain-based methods
Enthalten in Theoretical and applied climatology Bd. 156, 26.8.2025, Nr. 9, date:9.2025: 1-14
Online Ressource
Artikel 32699 Uncertainty principle for convolutional tight frames and its applications in signal recovery
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 29.8.2025, Nr. 2, date:12.2025: 1-45
Online Ressource
Artikel 32700 Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Enthalten in Scientific reports Bd. 14, 13.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource


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