In this paper, we propose a novel distributed Stochastic Gradient Descent (SGD) algorithm named Grouping-SGD for distributed ... SGD can achieve 1.2~3.7 times speedups using popular image ...

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.

In this paper, we propose an end-to-end framework for EEG classification that integrates power spectral density (PSD) and visibility graph (VG) features together ... To overcome this, we propose a ...