most citedMulti-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression

242 citations · 873 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2014★ 101 cited

Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework

Tao Xiong, Yukun Bao, Zhongyi Hu

Highly accurate interval forecasting of electricity demand is fundamental to the success of reducing the risk when making power system planning and operational decisions by providi…

cs.CY2014★ 9 cited

Exploring gender differences on general and specific computer self-efficacy in mobile learning adoption

Yukun Bao, Tao Xiong, Zhongyi Hu +1

Reasons for contradictory findings regarding the gender moderate effect on computer self-efficacy in the adoption of e-learning/mobile learning are limited. Recognizing the multile…

cs.LG2014★ 242 cited

Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression

Yukun Bao, Tao Xiong, Zhongyi Hu

Accurate time series prediction over long future horizons is challenging and of great interest to both practitioners and academics. As a well-known intelligent algorithm, the stand…

cs.AI2014★ 62 cited

Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences

Tao Xiong, Yukun Bao, Zhongyi Hu

Following the "decomposition-and-ensemble" principle, the empirical mode decomposition (EMD)-based modeling framework has been widely used as a promising alternative for nonlinear…

cs.LG2014★ 192 cited

A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization

Yukun Bao, Zhongyi Hu, Tao Xiong

Addressing the issue of SVMs parameters optimization, this study proposes an efficient memetic algorithm based on Particle Swarm Optimization algorithm (PSO) and Pattern Search (PS…

cs.CE2014★ 196 cited

Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting

Tao Xiong, Yukun Bao, Zhongyi Hu

Highly accurate interval forecasting of a stock price index is fundamental to successfully making a profit when making investment decisions, by providing a range of values rather t…