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 ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

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

In a market where billions are traded every day, predictive accuracy is paramount. By combining adaptive decomposition, deep ...

In the paper "UCB-Type Learning Algorithms with Kaplan–Meier Estimator for Lost Sales Inventory Models with Lead Times," Lyu, Zhang, and Xin propose an upper confidence bound–type learning framework.