Ensemble Learning is a technique in machine learning that combines the predictions of multiple models to improve the overall performance and reduce the likelihood of overfitting. It leverages the ...

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 ...

In a recent study published in Scientific Reports, researchers examined the capacity of ensemble learning to anticipate and identify characteristics that impact or contribute to autism spectrum ...