Tuning Accuracy-Diversity Trade-off in Neural Network Ensemble via Novel Entropy Loss Function

Ensemble methods are used in machine learning by combining several models which produce an optimal predictive model. Neural network ensemble learning is a technique, which uses multiple individual deep neural networks (DNNs). Ensemble pruning methods are used to reduce the computational complexity of ensemble models. In this study, a novel optimization model is proposed to increase error independe...