A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

In this paper, we propose a novel distributed Stochastic Gradient Descent (SGD) algorithm named Grouping-SGD for distributed deep learning, which converges faster ... The experimental results indicate ...

This paper proposes a Dual-learning XGBoost Based Approach (DXGBA), a novel gradient boosting-based machine learning approach that concurrently carries out classification and regression tasks.

This method leverages graph-theoretical measures to uncover intricate patterns and relationships within the data that traditional methods might overlook. The novelty of VG lies in its ability to ...