hier vorgestellte Studie untersucht, ob es möglich ist, die Angaben zur tarifvertraglichen Bindung durch ein Nearest-Neighbor … report is incomplete. The study presented here examines whether a nearest-neighbor imputation can be used to estimate the …

hier vorgestellte Studie untersucht, ob es möglich ist, die Angaben zur tarifvertraglichen Bindung durch ein Nearest-Neighbor … report is incomplete. The study presented here examines whether a nearest-neighbor imputation can be used to estimate the …

algorithms, focusing primarily on Ordinary Least Squares (OLS), K-Nearest Neighbor (KNN), Ridge, and Lasso regressions. Our …

. Four supervised machine learning models are employed: Linear Regression, K-Nearest Neighbor, Support Vector Regressor, and …

condition monitoring of electric drive trains in supply chains. Large data is used to train linear discriminant analysis, K-nearest … neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven …

machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision …

Entwicklungsumgebung -- Entwicklung der Künstlichen Intelligenz – Local Aggregation (LA) -- Semantic Clustering by Adopting Nearest … Neighbor (SCAN) -- Entwicklung eines Marketingkonzepts für die Zielgruppe im Esports -- Kritische Reflexion -- Fazit und …