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Neuigkeiten Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.
 
 
 


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

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Artikel 33891 Value and limitations of machine learning in high-frequency nutrient data for gap-filling, forecasting, and transport process interpretation
Enthalten in Environmental monitoring and assessment Bd. 195, 27.6.2023, Nr. 7, date:7.2023: 1-18
Online Ressource
Artikel 33892 Value of Geologically Derived Features in Machine Learning Facies Classification
Enthalten in Mathematical geosciences Bd. 52, 16.11.2019, Nr. 1, date:1.2020: 5-29
Online Ressource
Artikel 33893 Value of machine learning in predicting TAVI outcomes
Enthalten in Netherlands heart journal Bd. 27, 20.5.2019, Nr. 9, date:9.2019: 443-450
Online Ressource
Artikel 33894 Values and inductive risk in machine learning modelling: the case of binary classification models
Enthalten in European journal for philosophy of science Bd. 11, 26.10.2021, Nr. 4, date:12.2021: 1-27
Online Ressource
Artikel 33895 Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes
Enthalten in Communications chemistry Bd. 6, 13.12.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 33896 Vanadiferous titanomagnetite ore rock classifier using machine learning from portable X-ray fluorescence spectra
Enthalten in Environmental earth sciences Bd. 84, 18.6.2025, Nr. 13, date:7.2025: 1-16
Online Ressource
Artikel 33897 Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms
Enthalten in Environmental monitoring and assessment Bd. 197, 10.4.2025, Nr. 5, date:5.2025: 1-32
Online Ressource
Artikel 33898 Variable resolution machine learning optimization of antennas using global sensitivity analysis
Enthalten in Scientific reports Bd. 14, 13.11.2024, Nr. 1, date:12.2024: 1-23
Online Ressource
Artikel 33899 Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches
Enthalten in BMC medical research methodology Bd. 20, 10.12.2020, Nr. 1, date:12.2020: 1-10
Online Ressource
Artikel 33900 Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19
Enthalten in Scientific reports Bd. 12, 3.6.2022, Nr. 1, date:12.2022: 1-14
Online Ressource


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