Least Squares Support Vector Regression with Applications to Large-Scale Data: a Statistical Approach (Kleinste kwadraten support vector regressie met toepassingen op grote datasets: een statistische benadering) KU Leuven
Nonparametric regression is a very popular tool for data analysis because thesetechniques impose few assumptions about the shape of the mean function. Hence,they are extremely flexible tools for uncovering nonlinear relationships betweenvariables. A disadvantage of these methods is their computational complexitywhen considering large data sets. In order to reduce the complexity for leastsquares support vector machines (LS-SVM), we propose a ...