Multiclass Classification via Least Squares Support Vector Machine Regression
Jooyong Shim, Jong-Sig Bae, Changha Hwang · Communications for Statistical Applications and Methods · 2008
In this paper we propose a new method for solving multiclass problem with least squares support vector machine(LS-SVM) regression. This method implements one-against-all scheme which is as accurate as any other approach. We also propose cross validation(CV) method to select effectively the optimal values of hyper-parameters which affect the performance of the proposed multiclass method. Experimental results are then presented which indicate the performance of the proposed multiclass method.