Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Regression and Machine Learning"
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	1	[DIN CEN/CLC ISO/IEC/TS 12791] DIN CEN/CLC ISO/IEC/TS 12791, Informationstechnik - Künstliche Intelligenz - Behandlung von unerwünschtem Bias bei Klassifizierungs- und Regressionsaufgaben des maschinellen Lernens (ISO/IEC TS 12791:2024) Berlin : DIN Media GmbH, März 2025, Deutsche Fassung CEN/CLC ISO/IEC/TS 12791:2024
	2	Comparison of Different Classification and Regression Machine Learning Algorithms for the Prediction of Excavation Damage Zone Depths Enthalten in Rock mechanics and rock engineering 16.6.2025: 1-23
	3	Design and Comparison of Parallel Dynamic Matérn Kernel-Based Regression Models and Machine Learning Approaches: Application to Bias Correction in Numerical Weather Prediction Enthalten in Communications on applied mathematics and computation 27.5.2025: 1-42
	4	Predictive model for live birth outcomes in single euploid frozen embryo transfers: a comparative analysis of logistic regression and machine learning approaches Enthalten in Journal of assisted reproduction and genetics 22.5.2025: 1-10
	5	Machine Learning-Based Classification and Regression Approach for Early Detection of Large Break Loss-of-Coolant Accident Conditions Enthalten in The Arabian journal for science and engineering 17.4.2025: 1-21
	6	Comprehensive Evaluation of Satellite-Based Rainfall Measurements Through Rain Gauge Validation Using Advanced Statistical Regression and Machine Learning Models by Using Python Enthalten in Water resources management 22.3.2025: 1-25
	7	A survey of statistical and machine learning methods of quantile regression in time series and their suitability in predicting dengue outbreaks Enthalten in Japanese journal of statistics and data science 21.2.2025: 1-49
	8	Coupling FELA and Regression Machine Learning Models in Predicting the Bearing Capacity of Eccentrically Loaded T-Shaped Footings on Anisotropic Clays Enthalten in Indian geotechnical journal 19.2.2025: 1-19
	9	Machine Learning Optimized Optical Surface Plasmon Resonance Biosensor Using Locally Weighted Linear Regression for Rapid and Accurate Detection of Tuberculosis Biomarkers Enthalten in Plasmonics 8.2.2025: 1-28
	10	The Feasibility of Predicting Financial Crises using Machine Learning Markhovski, Julia. - München : GRIN Verlag, 2024, 1. Auflage