Support vector machines for interval discriminant analysis
Neurocomputing
Generalized locality preserving Maxi-Min Margin Machine
Neural Networks
A study on output normalization in multiclass SVMs
Pattern Recognition Letters
GSVM: An SVM for handling imbalanced accuracy between classes inbi-classification problems
Applied Soft Computing
Hi-index | 0.00 |
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 out which shows that the accuracy rate can be improved by using bias formulations, although no single formulation stands out as providing better performance.