Abstract: This study proposes a novel distributed online gradient descent algorithm incorporating a time-decaying forgetting-factor (FF) mechanism. The core innovation lies in introducing a ...

Abstract: Backed by sophisticated neural networks (NNs) that simulate the functions of the human brain, Artificial Intelligence (AI) has positioned itself to address complex problems in intelligence, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...