Rubio, Ginés; Pomares, Héctor; Rojas, Ignacio; … - In: International Journal of Forecasting 27 (2011) 3, pp. 725-739
Least Squares Support Vector Machines (LS-SVM) are the state of the art in kernel methods for regression. These models have been successfully applied for time series modelling and prediction. A critical issue for the performance of these models is the choice of the kernel parameters and the...