Katalog der Deutschen Nationalbibliothek

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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: tit all "Machine Learning Techniques"
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1 - 10 von 42

	1	Machine learning techniques for time series forecasting in power systems operation Gürses-Tran, Gonca. - Aachen : E.ON Energy Research Center, RWTH Aachen University, 2024, 1. Auflage
	2	Route and operating optimization of maritime vessels using machine learning techniques Moradi, Mohammad Hossein. - Berlin : Logos Verlag, [2024]
	3	Search for Higgs boson production in association with b-Quarks in final states with leptons with machine learning techniques at CMS Bayat Makou, Maryam. - Hamburg : Verlag Deutsches Elektronen-Synchrotron DESY, May 2024
	4	Machine learning techniques for time series classification Botsch, Michael. - Göttingen : Cuvillier Verlag, 2023, 2. Auflage
	5	Measurement of the tt̄H(bb̄) process in the dilepton final state with machine learning techniques at the CMS Experiment Giraldi, Angela. - Hamburg, Germany : Verlag Deutsches Elektronen-Synchrotron DESY, April 2023
	6	Measurement of the tt̄H(bb̄) process in the dilepton final state with machine learning techniques at the CMS experiment Giraldi, Angela. - Hamburg : Deutsches Elektronen-Synchrotron DESY, April 2023
	7	Essays on the application of machine learning techniques in the empirical asset pricing research Otto, Tizian. - Hamburg, October 31, 2022
	8	Tau reconstruction in CMS exploiting machine learning techniques Chen, Ze. - Hamburg : Deutsches Elektronen-Synchrotron DESY, October 2022
	9	Novel applications of machine learning techniques in epidemiology of age-related diseases: from multidimensional data modelling to risk prediction Reichmann, Robin. - Potsdam, 26.03.2021
	10	Optimizing the machine learning techniques in the H → π analysis with CMS data Bayat Makou, Maryam. - Hamburg : Deutsches Elektronen-Synchrotron, February 2021