Dynamic support vector machines for non-stationary time series forecasting
Lijuan Cao, Qingming Gu · Intelligent Data Analysis · 2002
This paper proposes a modified version of support vector machines (SVMs), called dynamic support vector machines (DSVMs), to model non-stationary time series. The DSVMs are obtained by incorporating the problem domain knowledge -- non-stationarity of