Ensemble learning algorithms include stacking, boosting such as Gradient Boosting and AdaBoost, and bagging such as Random Forest.

EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...

Social media companies’ drive to keep you on their platforms clashes with how people evolved to learn from each other ...