… 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 …

… 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 …

… learning (ML) approach for predicting the creep behavior of concrete. Three ensemble machine
learning (… theories, are calculated to interpretate the predictions of the EML model. Five …

… pair subsets, we obtain the predictions of different learning models which are used as the
meta-data to build the meta-model. Meta-model makes the final prediction, which is also called …

… Obviously, compared with the other two aspects, predicting structural behavior using ML …
In most of the applications of ML-based structural behavior prediction, the individual learning …

Early diseases prediction plays an important role for … disease prediction model (DPM) to provide
an early prediction for … data distribution, and ensemble approach to predict the diseases. …

… -learning approach for predicting building energy consumption in an occupant-behavior-…
dimension, there is a lack of studies focusing on deep learning and ensemble approaches. …

… can also affect the behavior of the model. In summary, the boosting method uses sequential
… system methods in improving prediction performance, most of the ensemble deep learning …

… an ensemble learning-based strength prediction method for HPC. The aim is to improve the
accuracy of HPC intensity prediction. … an ensemble learning-based HPC strength prediction …

… Thus the SP-Ensemble's prediction was computed based on fusing 120 ( 30 × 4 scales) …
to behavior or disease. This strategy contrasts with current practice where the input to machine …