Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
For decades, the standard technical requirement for a law student was a mastery of Westlaw and a passing familiarity with ...
Abstract: In this paper, we investigated the overfitting characteristics of nonlinear equalizers based on an artificial neural network (ANN) and the Volterra series transfer function (VSTF), which ...
Abstract: Deep learning has proven to be a powerful tool for analyzing complex medical data; however, its effectiveness can be hindered by limited training data, leading to overfitting. In response to ...