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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

Ergebnis der Suche nach: "Machine Learning"
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38621 - 38630 von 38814

	38621	Validity of Machine Learning in Assessing Large Texts Through Sustainability Indicators Enthalten in Social indicators research Bd. 166, 26.1.2023, Nr. 2, date:4.2023: 323-337
	38622	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
	38623	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
	38624	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
	38625	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
	38626	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
	38627	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
	38628	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
	38629	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
	38630	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

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