Katalog der Deutschen Nationalbibliothek

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

16061 - 16070 von 16806

	16061	Supervised machine learning of ultracold atoms with speckle disorder Enthalten in Scientific reports Bd. 9, 4.4.2019, Nr. 1, date:12.2019: 1-12
	16062	Supervised machine learning predictive analytics for alumni income Enthalten in Journal of Big Data Bd. 9, 24.1.2022, Nr. 1, date:12.2022: 1-31
	16063	Supervised machine learning statistical models for visual outcome prediction in macular hole surgery: a single-surgeon, standardized surgery study Enthalten in International Journal of Retina and Vitreous Bd. 11, 13.1.2025, Nr. 1, date:12.2025: 1-8
	16064	Supervised machine learning to validate a novel scoring system for the prediction of disease remission of functional pituitary adenomas following transsphenoidal surgery Enthalten in Scientific reports Bd. 13, 16.9.2023, Nr. 1, date:12.2023: 1-12
	16065	Supervised maximum variance unfolding Enthalten in Machine learning Bd. 113, 19.6.2024, Nr. 9, date:9.2024: 6197-6226
	16066	Supporting an Expert-centric Process of New Product Introduction With Statistical Machine Learning Enthalten in Business information systems Bd. 1, 02.07.2021
	16067	Supporting elimination of lymphatic filariasis in Samoa by predicting locations of residual infection using machine learning and geostatistics Enthalten in Scientific reports Bd. 10, 25.11.2020, Nr. 1, date:12.2020: 1-11
	16068	Supporting the decision to perform molecular profiling for cancer patients based on routinely collected data through the use of machine learning Enthalten in Clinical and experimental medicine Bd. 24, 10.4.2024, Nr. 1, date:12.2024: 1-14
	16069	Supporting visual quality assessment with machine learning Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on image and video processing Bd. 2013, 23.9.2013, Nr. 1, date:12.2013: 1-15
	16070	Suppressing unknown disturbances to dynamical systems using machine learning Enthalten in Communications Physics Bd. 7, 19.12.2024, Nr. 1, date:12.2024: 1-9