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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.

Vom 10. September 2025, 13 Uhr, bis 11. September 2025, 22 Uhr, kann es zu Einschränkungen bei der Bereitstellung von Medienwerken kommen. Wir informieren Sie per E-Mail über den aktuellen Stand Ihrer Bestellungen. // From 13:00 on 10 September 2025 until 22:00 on 11 September 2025, there may be restrictions on the provision of media works. We will inform you by email about the current status of your orders.

Ergebnis der Suche nach: tit all "Regression and Machine Learning"
im Bestand: Gesamter Bestand

11 - 20 von 194

	11	The Feasibility of Predicting Financial Crises using Machine Learning Markhovski, Julia. - München : GRIN Verlag, 2024, 1. Auflage
	12	The Feasibility of Predicting Financial Crises using Machine Learning Markhovski, Julia. - München : GRIN Verlag, 2024, 1. Auflage
	13	Predicting COPD readmissions: a novel 2e index with traditional regression and machine-learning approaches Enthalten in Internal and emergency medicine 9.11.2024: 1-3
	14	AI-Based Machine Learning and Multiple Linear Regression Approach to Simulate the Effect of Weather on the Crop Age at First Appearance of Potato Late Blight (Phytophthora infestans (Mont.) de Bary) Disease Enthalten in Potato research 21.10.2024: 1-24
	15	Unlocking Potential Catalysts: A Machine Learning Approach with Bayesian and Regression Models Enthalten in ChemistrySelect Bd. 9, 2024, Nr. 37. 9 S.
	16	Investigations on machine learning, deep learning, and longitudinal regression methods for global greenhouse gases predictions Enthalten in International journal of environmental science and technology 30.8.2024: 1-14
	17	Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors Enthalten in Journal of nephrology 29.7.2024: 1-9
	18	Damage Identification in a Cantilever Beam Using Regression and Machine Learning Models Enthalten in Iranian journal of science and technology / Transactions of civil engineering 27.7.2024: 1-16
	19	Evaluation of microstructure and prediction of hardness of Al–Cu based composites by using artificial neural network and linear regression through machine learning technique Enthalten in Multiscale and multidisciplinary modeling, experiments and design 12.7.2024: 1-13
	20	Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients Enthalten in Health and Technology 24.5.2024: 1-12