A note on the bias in SVMs for multiclassification

作者：Gonzalez Abril Luis^*; Angulo Cecilio; Velasco Morente Francisco; Ortega Juan Antonio

来源：IEEE Transactions on Neural Networks, 2008, 19(4): 723-725.

DOI：10.1109/TNN.2007.914138

• bias
• multiclassification
• support vector machine (SVM)

During the usual SVM biclassification learning process, the bias is chosen a posteriori as the value halfway between separating hyperplanes. A note on different approaches on the calculation of the bias when SVM is used for multiclassification is provided and empirical experimentation is carried not which shows that the accuracy rate can he improved by using bias formulations, although no single formulation stands out as providing better performance.

• 出版日期2008-4