… In order to further demonstrate the advantages of the face intelligence feedback cognitive …
As can be seen from Table I, the deep ensemble learning-based face intelligent feedback …

… feedback mechanism, residual dilated aggregation attention module and ensemble learning
… We apply the feedback mechanism to fully utilize the effective information by refining the low…

… feedback cognition model with deep ensemble learning … Simulated feedback
mechanism–based rotary kiln burning state … Image pattern cognition with simulated feedback …

… First, we remove the feedback mechanism in prompt boosting (“−Feedback”), in which …
ensemble without feedback-reflect-refine is suboptimal, signifying that our feedback mechanism …

… Improving the performance of machine learning algorithms … The ensemble learning is
one of the machine learning … a mechanism for rating Twitter users using the SVM ensemble…

… conditions, we introduce ensemble learning to design a dual-ensemble diagnosis algorithm:
… [20] designed two feedback mechanisms for ENN based on the output feedback to the …

… This paper presents a novel dynamic ensemble learning (DEL) algorithm for designing
ensemble of neural networks (NNs). DEL algorithm determines the size of ensemble, the number …

… Ensemble learning from data streams This section discusses supervised data stream ensemble
learning … the proposed taxonomy of ensemble learning approaches for data streams in …

… In order to overcome these problems, this paper proposes a novel ensemble learning (EL)
for rapidly searching a high-quality optimal solution of OAPC with the following features. …

… foundations of ensemble learning and the most commonly considered ensemble methods
… Then, we review the existing ensemble techniques in the framework of imbalanced datasets…