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

21 - 30 von 194

	21	Emotional reactivity and its impact on neural circuitry for attention-emotion interaction through regression-based machine learning model Enthalten in Cognitive neurodynamics 16.4.2024: 1-23
	22	Developing and microsimulating demographic dynamics for an integrated urban model: a comparison between logistic regression and machine learning techniques Enthalten in Transportation 24.2.2024: 1-35
	23	Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models Enthalten in Precision agriculture 21.2.2024: 1-25
	24	Relaxing assumptions, improving inference: Integrating machine learning and the linear regression Ratkovic, Marc. - Mannheim : Universitätsbibliothek Mannheim, 2023
	25	Analysis and synthesis of L- and T-shaped flexible compact microstrip antennas using regression-based machine learning approaches Enthalten in Frequenz Bd. 77, 2023, Nr. 5-6: 281-292. 12 S.
	26	Validation of machine learning ridge regression models using Monte Carlo, bootstrap, and variations in cross-validation Enthalten in Journal of intelligent systems Bd. 32, 2023, Nr. 1. 19 S.
	27	Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin Enthalten in Natural hazards and earth system sciences Bd. 23, 2023, Nr. 12: 3863-3883. 21 S.
	28	Modeling river water temperature with limiting forcing data: Air2stream v1.0.0, machine learning and multiple regression Enthalten in Geoscientific model development Bd. 16, 2023, Nr. 14: 4083-4112. 30 S.
	29	Detecting Shape-Based Interactions Among Environmental Chemicals Using an Ensemble of Exposure-Mixture Regression and Interpretable Machine Learning Tools Enthalten in Statistics in biosciences 23.11.2023: 1-21
	30	Data-driven reference evapotranspiration (ET0) estimation: a comparative study of regression and machine learning techniques Enthalten in Environment, development and sustainability 13.10.2023: 1-28