A Method of Dynamic Working Set Selection for Support Vector Regression

In the Hardware/Software Co-design process of the control computer on a spacecraft, power modeling is an essential step. The Support Vector Regression (SVR) algorithm based on working set selection (WSS) is an effective method to resolve this problem. Existing WSS methods using fixed first order or second order information regardless of the influence of regression parameters lead to a long iterative time. To break through the limit of these methods, in this paper, a new WSS method named DWSS is proposed. Numerical experiments show that DWSS is faster than existing methods.