reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering ...

The Influence of Exploitative Leadership on Service Performance in China and Morocco: The Mediation of Surface Acting and the Moderation of Power Distance Orientation ...

Linear regression is a very simple machine learning model that is supposed to find linear relations between input and output data. Its use is limited since real-world random variables are almost never ...

In order to improve the accuracy of construction project cost budget, based on the previous research, this paper introduces the multiple linear analysis method, constructs a regression model, and uses ...

Here, we describe an efficient implementation of Gaussian process regression (GPR) acceleration of the minimum mode following method where a dimer is used to estimate the lowest eigenmode of the ...