… accuracy, scale, explainability, and long-term utilization and behavior. We believe that such
… develop an ensemble learning method to build models for vehicle behavior prediction. The …

… predictions. The three methods are assembled as the proposed Ensemble Predicting Algorithm
(EPA) to improve predicting … and 22 % of the energy consumption prediction errors. The …

… and ensemble learning for user purchase behavior prediction. After successfully using the
… and ensemble learning, this paper proposes a prediction model for user purchase behavior. …

… , ensemble progressive prediction, incorporates the previous and current results of the first
layer ensemble prediction. … to leverage students' learning behavior and domain knowledge, …

… accuracy of machine learning algorithms [… Ensemble Tree approach to predict learning style,
where other researchers have not used the Ensemble Tree method for prediction of learning …

… prediction results of the linear model and the non-linear model to build an ensemble system
to predict user behavior [5]. … learning models are applied to the prediction of online shopping …

… of online learning behavior data. Some … behavioral data collected in the classroom, which
were used to analyze the correlations between test scores and different courses, and predicted …

… Moreover, we assume that user retweeting behavior is mainly influenced by those … the
prediction problem as an ensemble learning problem and propose a novel ensemble learning …

… The authors of [11] detailed the entire process of mining e-learning … ' behavior and interaction
with process mining methods. The quiz-taking behavior of students in an online learning …

… Second, the AdaBoost-FSVM ensemble prediction model is constructed by using multiple …
show that the ensemble learning method used in this paper has better prediction effects than …