Multiclass Probabilistic Classification for Support Vector Machines
Ji-Sang Bae, Jong‐Ok Kim · IEICE Transactions on Information and Systems · 2015
Support Vector Machine (SVM) is one of the most widely used classifiers to categorize observations. This classifier deterministically selects a class that has the largest score for a classification output. In this letter, we propose a multiclass probabilistic classification method that reflects the degree of confidence. We apply the proposed method to age group classification and verify the performance.