While ensemble learning is a very powerful tool, it also has some tradeoffs. Using ensemble means you must spend more time and resources on training your machine learning models.

Researchers from South China University of Technology use machine learning to predict 3D printed Ti6Al4V performance.

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 ...

Journal reference: Lanka, J., et al. (2021) ELAFT: An Ensemble-based Machine-learning Algorithm that Predicts Anti-cancer Drug Responses with High Accuracy.